Towards Modular Machine Learning Pipelines
Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Emre Kiciman
Senior Principal Research Manager
Publications
Publications by Year
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A Causal Roadmap for Generating High-Quality Real-World Evidence
Lauren E Dang, Susan Gruber, Hana Lee, Issa Dahabreh, Elizabeth A Stuart, Brian D Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kiciman, Demissie Alemayehu, Katherine L Hoffman, Carla Y Vossen, Raymond A Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P Waddy, Charles E Barr, Mouna Akacha, John B Buse, Mark van der Laan, Maya Petersen
May 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
April 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models
Arash Nasr-Esfahany, Emre Kiciman
January 2023
Observer Effect in Social Media Use
Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
January 2023
Honorable Mention, CHI 2024
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
International Conference on Learning Representations (ICLR) | January 2023
Notable Top-25% of accepted papers
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Invariant Language Modeling
Maxim Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
2022 Empirical Methods in Natural Language Processing | December 2022
A Causal AI Suite for Decision-Making
Emre Kiciman, Eleanor Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Osazuwa Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
NeurIPS 2022 Workshop on Causality for Real-world Impact | December 2022
I Know Your Triggers: Defending against Textual Backdoor Attacks with Benign Backdoor Augmentation
Yue Gao, Jack W. Stokes, Manoj Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman
Military Communications Conference | November 2022
Causal Modeling of Soil Processes for Improved Generalization
Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | November 2022
Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
NeurIPS 2022 Workshop on Distribution Shifts (DistShift) | November 2022
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
Workshop on Spurious Correlations, Invariance, and Stability, ICML 2022 | July 2022
Spotlight
Causal Inference in the Presence of Interference in Sponsored Search Advertising
Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
Frontiers in Big Data | June 2022, Vol 5
Population-scale dietary interests during the COVID-19 pandemic.
Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
Nature Communications | February 2022, Vol 13(1073)
Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman (emrek), Amit Sharma, Martin Kukla, Nick Pawlowski, Miltos Allamanis, Cheng Zhang
MSR-TR-2022-1 | February 2022
Published by Microsoft
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
AAAI 2022 | February 2022
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Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study
Kristina Gligorić, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
CM Conference on Computer-Supported Cooperative Work and Social Computing CSCW | October 2021
Honorable Mention
Invariant Language Modeling
Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
EMNLP 2022 | October 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
MSR-TR-2021-15 | July 2021
Published by ICML 2021 workshop on the Neglected Assumptions in Causal Inference
Measuring algorithmically infused societies
Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kiciman, Noshir Contractor, Tina Eliassi-Rad
Nature | June 2021, Vol 595: pp. 197-204
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
14th ACM Intl Conf. on Web Search and Data Mining (WSDM) | March 2021
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
January 2021
arXiv
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DoWhy: An End-to-End Library for Causal Inference
November 2020
Causal Data Science Meeting (https://causalscience.org/)
Security and Machine Learning in the Real World
Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
July 2020
AvE: Assistance via Empowerment
Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca Dragan
June 2020
External Information Sharing on Health Forums: An Exploration
Dana Nguyen, Alexandra Olteanu, Emre Kiciman
Intl. Conf. on Web and Social Media (ICWSM) | June 2020
Novel Human-Object Interaction Detection via Adversarial Domain Generalization
Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
May 2020
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Causal Transfer Random Forest: Leveraging Observational and Randomization Studies
Shuxi Zeng, Emre Kiciman, Denis Charles, Joel Pfeiffer, Murat Ali Bayir
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
Robust Neural Networks for Causal Invariant Features Extraction
Shuxi Zeng, Pengchuan Zhang, Denis Charles, Eren Manavoglu, Emre Kiciman
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
Frontiers in Big Data | July 2019, Vol 2
A Social Media Study on the Effects of Psychiatric Medication Use
Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kiciman, Munmun De Choudhury
International AAAI Conference on Web and Social Media (ICWSM 2019) | June 2019
Outstanding Study Design Paper Award
People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
Saleema Amershi, Ece Kamar, Emre Kiciman
Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
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Geographically Resolved Rhythms in Twitter Use Reveal Social Pressures on Daily Activity Patterns
Eugene Leypunskiy, Emre Kiciman, Mili Shah, Olivia J. Walch, Andrey Rzhetsky, Aaron R. Dinner, Michael J. Rust
Current Biology | November 2018, Vol 28: pp. 3763-3775
Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health
Munmun De Choudhury, Emre Kiciman
AI Magazine | September 2018, Vol 39(3)
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
Emre Kiciman, Scott Counts, Melissa Gasser
In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
Conjunction of factors triggering waves of seasonal influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
eLife | February 2018, Vol 7: pp. e30756
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Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
Bloomberg Data for Good Exchange | September 2017
Conjunction of Factors Triggering Waves of Seasonal Influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
BioRxiv | July 2017
Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
Animal Population Estimation Using Flickr Images
Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
Munmun De Choudhury, Emre Kiciman
Proceedings of the International Conference on Web and Social Media (ICWSM-17) | May 2017
Best Paper Award
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
December 2016
Information Dissemination in Heterogeneous-Intent Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
Web Science | May 2016
Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines
Alexandra Olteanu, Onur Varol, Emre Kiciman
International Conference on Web and Social Media (ICWSM) | May 2016
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
Honorable Mention
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
PlosONE | January 2016, Vol 11
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Persona-ization: Searching on Behalf of Others
Paul N. Bennett, Alexander Fishkov, Emre Kiciman
Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS'15) | August 2015
International Workshop on Social Personalisation & Search (SPS 2015)
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media
Emre Kiciman, Matthew Richardson
KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2015
Knowledge Discovery and Data Mining (KDD)
Towards Learning a Knowledge Base of Actions from Experiential Microblogs
AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
AAAI Spring Symposium on Knowledge Representation and Reasoning
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Discussion Graphs: Putting Social Media Analysis in Context
Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
Intl. Conf. on Weblogs and Social Media (ICWSM-14) | June 2014
Online And Social Media Data As A Flawed Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
MSR-TR-2014-159 | May 2014
Effect of Persuasion on Information Diffusion in Social Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman
MSR-TR-2014-69 | May 2014
Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models
Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
WSDM '14 Proceedings of the 7th ACM international conference on Web search and data mining | February 2014
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Smart Societies: From Citizens as Sensors to Collective Action
Andrés Monroy-Hernández, Shelly D. Farnham, Ph.D., Emre Kiciman, Scott Counts, Munmun De Choudhury
interactions | July 2013
To Link or Not to Link? A Study on End-to-End Tweet Entity Linking
Stephen Guo, Ming-Wei Chang, Emre Kiciman
NAACL-HLT 2013 | June 2013
The New War Correspondents: The Rise of Civic Media Curation in Urban Warfare
Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Munmun De Choudhury, Scott Counts
The 16th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) | February 2013
Simple and Knowledge-intensive Generative Model for Named Entity Recognition
Chun-Kai Wang, Bo-June (Paul) Hsu, Ming-Wei Chang, Emre Kiciman
MSR-TR-2013-3 | January 2013
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Click Patterns: An Empirical Representation of Complex Query Intents
Huizhong Duan, Emre Kiciman, Chengxiang Zhai
21st ACM International Conference on Information and Knowledge Management (CIKM 2012) | October 2012
21st ACM International Conference on Information and Knowledge Management (CIKM 2012)
Keeping Information Safe from Social Networking Apps
Bimal Viswanath, Emre Kiciman, Stefan Saroiu
Proceedings of the Workshop on Online Social Networks (WOSN'12) | August 2012
Tweeting the Drug War: Empowerment, Intimidation, and Regulation in Social Media
Emre Kiciman, danah boyd, Scott Counts, Andrés Monroy-Hernández
Human Computer Interaction International Conference | June 2012
HCIC
“Narcotweets”: Social Media in Wartime
Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
OMG, I have to Tweet that! A Study of Factors that Influence Tweet Rates
The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
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AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications
Emre Kiciman, Benjamin Livshits, Ben Livshits
ACM Transactions on the Web (TWEB) | September 2010
This journal article is an extension of our SOSP paper on AjaxScope, and discusses significant follow-on work, including Doloto and MEDic. MEDic is a control and visualizatio ntool for Web application instrumentation to enable on-line debugging; and Doloto, a code splitter that optimizes Web application download time based on analysis of its runtime behavior.
Language Differences and Metadata Features on Twitter
Web N-gram Workshop at SIGIR 2010 | July 2010
Fluxo: A System for Internet Service Programming by Non-expert Developers
Emre Kiciman, Ben Livshits, Madan Musuvathi, Kevin C. Webb
ACM Symposium on Cloud Computing | January 2010
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FLUXO: A Simple Service Compiler
Emre Kiciman, Ben Livshits, Madan Musuvathi
12th Workshop on Hot Topics in Operating Systems | May 2009
12th Workshop on Hot Topics in Operating Systems
(Short Paper) Improving the Responsiveness of Internet Services with Automatic Cache Placement
Alex Rasmussen, Emre Kiciman, Ben Livshits, Madan Musuvathi
EuroSys 2009 | April 2009
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Doloto: Code Splitting for Network-Bound Web 2.0 Applications
Ben Livshits, Emre Kiciman
Foundations of Software Engineering (FSE) | November 2008
Foundations of Software Engineering (FSE)
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Doloto: Code Splitting for Network-Bound Web 2.0 Applications
Emre Kiciman, Ben Livshits
MSR-TR-2007-159 | December 2007
Fast Variational Inference for Large-scale Internet Diagnosis
John Platt, Emre Kiciman, Dave Maltz
The Conference on Neural Information Processing Systems (NIPS) | December 2007
AjaxScope: A Platform for Remotely Monitoring the Client-side Behavior of Web 2.0 Applications
Emre Kiciman, Ben Livshits
The 21st ACM Symposium on Operating Systems Principles (SOSP'07) | October 2007
The Roma Personal Metadata Service
Edward Swierk, Emre Kiciman, Vince Laviano, Mary Baker
The 3rd IEEE Workshop on Mobile Computing Systems and Applications | May 2007
Live Monitoring: Using Adaptive Instrumentation and Analysis to Debug and Maintain Web Applications
Emre Kiciman, Helen Wang
The 11th Workshop on Hot Topics in Operating Systems (HotOS XI) | May 2007
The 11th Workshop on Hot Topics in Operating Systems (HotOS XI)
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Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management
Emre Kiciman, Brad Daniels, Arunvijay Kumar, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee, Chad Verbowski
The 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI '06) | November 2006
Mining Web Logs to Debug Distant Connectivity Problems
Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
Autonomic network management: Some pragmatic considerations
Richard Mortier, Emre Kiciman
ACM SIGCOMM Workshop on Internet Network Management (INM) | September 2006
Mining Web Logs to Debug Distant Connectivity Problems
Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06)
Analyzing Persistent State Interactions to Improve State Management
Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Chad Verbowski, Juhan Lee
ACM SIGMETRICS 2006 | June 2006
ACM SIGMETRICS 2006
Short Paper.
Analyzing Persistent State Interactions to Improve State Management
Chad Verbowski, Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Juhan Lee
MSR-TR-2006-39 | April 2006
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Detecting Application-Level Failures in Component-based Internet Services
Emre Kiciman, Armando Fox
IEEE Transactions on Neural Networks: Special Issue on Adaptive Learning Systems in Communication Networks | September 2005
Using Statistical Monitoring to Detect Failures in Internet Services
September 2005
September 2005
Root Cause Localization in Large Scale Systems
Emre Kiciman, Lakshminarayanan Subramanian
Proceedings of the First Workshop on Hot Topics in System Dependability (HotDep) | June 2005
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Combining Statistical Monitoring and Predictable Recovery for Self-Management
Armando Fox, Emre Kiciman, David Patterson, Michael Jordan, Randy Katz
2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12 | October 2004
2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12
Earlier version presented at 2nd Bertinoro Workshop on Future Directions in Distributed Computing (FuDiCo II): Survivability: Obstacles and Solutions, June 2004
Discovering Correctness Constraints for Self-Management of System Configuration
Emre Kiciman, Yi-Min Wang
MSR-TR-2004-22 | March 2004
Path-Based Failure and Evolution Management
Mike Y. Chen, Anthony Accardi, Emre Kiciman, Jim Lloyd, Dave Patterson, Armando Fox, Eric Brewer
The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04)
Session State: Beyond Soft State
Benjamin C. Ling, Emre Kiciman, Armando Fox
the 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
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JAGR: An Autonomous Self-Recovering Application Server
George Candea, Emre Kiciman, Steve Zhang, Pedram Keyani, Armando Fox
The 5th International Workshop on Active Middleware Services | June 2003
Using Runtime Paths for Macro Analysis
Mike Chen, Emre Kiciman, Anthony Accardi, Armando Fox, Eric Brewer
9th Workshop on Hot Topics in Operating Systems | May 2003
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The Roma Personal Metadata Service
Edward Swierk, Emre Kiciman, Nathan C. Williams, Takashi Fukushima, Hideki Yoshida, Vince Laviano, Mary Baker
ACM Baltzer Mobile Networks and Applications | October 2002
Recovery Oriented Computing: Motivation, Definition, Principles, and Examples
David Patterson, Aaron Brown, Pete Broadwell, George Candea, Mike Chen, James Cutler, Patricia Enriquez, Armando Fox, Emre Kiciman, Matthew Merzbacher, David Oppenheimer, Naveen Sastry, William Tetzlaff, Jonathan Traupman, Noah Treuhaft
| March 2002
Ph.D. thesis (supervisors: Li Deng, Paul Fieguth, University of Waterloo, Ontario, Canada)
An Online Evolutionary Approach to Developing Internet Services
Mike Y. Chen, Emre Kiciman, Eric Brewer
SIGOPS European Workshop | January 2002
Extended Abstract
Designing for Maintainability, Failure Resilience, and Evolvability in Ubiquitous Computing Software
Shankar Ponnekanti, Brad Johanson, Emre Kiciman, Armando Fox
| January 2002
PG 2006
Pinpoint: Problem Determination in Large, Dynamic, Internet Services
Mike Chen, Emre Kiciman, Eugene Fratkin, Armando Fox, Eric Brewer
The International Conference on Dependable Systems and Networks (IPDS Track) | January 2002
Using Internet Services to Manage Massive Evolving Information for Ubiquitous Computing Systems
Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002 | January 2002
Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002
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System Support for Interactive Workspaces
Brad Johanson, Shankar Ponnekanti, Emre Kiciman, Caesar Sengupta, Armando Fox
PTN-2001-1 | July 2001
TLDI '03 Proceedings of the 2003 ACM SIGPLAN international workshop on Types in Languages Design and Implementation
Towards Zero-Code Service Composition (Position paper)
Emre Kiciman, Laurence Melloul
The Eighth Workshop in Hot Topics in Operating Systems | May 2001
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ICEBERG: An Internet-core Network Architecture for Integrated Communications
Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy H. Katz
IEEE Personal Communications | April 2000
ICEBERG: An Internet-core Network Architecture for Integrated Communications
Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy Katz
IEEE Personal Communications: Special Issue on IP-based Mobile Telecommunications Networks | January 2000
Using Dynamic Mediation to Integrate COTS Entities in a Ubiquitous Computing Environment
Emre Kiciman, Armando Fox
Second International Symposium on Handheld and Ubiquitous Computing | January 2000
Publications by Research Area
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Towards Modular Machine Learning Pipelines
Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
A Causal Roadmap for Generating High-Quality Real-World Evidence
Lauren E Dang, Susan Gruber, Hana Lee, Issa Dahabreh, Elizabeth A Stuart, Brian D Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kiciman, Demissie Alemayehu, Katherine L Hoffman, Carla Y Vossen, Raymond A Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P Waddy, Charles E Barr, Mouna Akacha, John B Buse, Mark van der Laan, Maya Petersen
May 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
April 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models
Arash Nasr-Esfahany, Emre Kiciman
January 2023
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
International Conference on Learning Representations (ICLR) | January 2023
Notable Top-25% of accepted papers
Invariant Language Modeling
Maxim Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
2022 Empirical Methods in Natural Language Processing | December 2022
A Causal AI Suite for Decision-Making
Emre Kiciman, Eleanor Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Osazuwa Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
NeurIPS 2022 Workshop on Causality for Real-world Impact | December 2022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
NeurIPS 2022 Workshop on Distribution Shifts (DistShift) | November 2022
Causal Modeling of Soil Processes for Improved Generalization
Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | November 2022
Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
Workshop on Spurious Correlations, Invariance, and Stability, ICML 2022 | July 2022
Spotlight
Causal Inference in the Presence of Interference in Sponsored Search Advertising
Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
Frontiers in Big Data | June 2022, Vol 5
Population-scale dietary interests during the COVID-19 pandemic.
Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
Nature Communications | February 2022, Vol 13(1073)
Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman (emrek), Amit Sharma, Martin Kukla, Nick Pawlowski, Miltos Allamanis, Cheng Zhang
MSR-TR-2022-1 | February 2022
Published by Microsoft
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
AAAI 2022 | February 2022
Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study
Kristina Gligorić, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
CM Conference on Computer-Supported Cooperative Work and Social Computing CSCW | October 2021
Honorable Mention
Invariant Language Modeling
Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
EMNLP 2022 | October 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
MSR-TR-2021-15 | July 2021
Published by ICML 2021 workshop on the Neglected Assumptions in Causal Inference
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
14th ACM Intl Conf. on Web Search and Data Mining (WSDM) | March 2021
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
January 2021
arXiv
DoWhy: An End-to-End Library for Causal Inference
November 2020
Causal Data Science Meeting (https://causalscience.org/)
Security and Machine Learning in the Real World
Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
July 2020
AvE: Assistance via Empowerment
Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca Dragan
June 2020
External Information Sharing on Health Forums: An Exploration
Dana Nguyen, Alexandra Olteanu, Emre Kiciman
Intl. Conf. on Web and Social Media (ICWSM) | June 2020
Novel Human-Object Interaction Detection via Adversarial Domain Generalization
Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
May 2020
Robust Neural Networks for Causal Invariant Features Extraction
Shuxi Zeng, Pengchuan Zhang, Denis Charles, Eren Manavoglu, Emre Kiciman
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
Causal Transfer Random Forest: Leveraging Observational and Randomization Studies
Shuxi Zeng, Emre Kiciman, Denis Charles, Joel Pfeiffer, Murat Ali Bayir
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
Frontiers in Big Data | July 2019, Vol 2
A Social Media Study on the Effects of Psychiatric Medication Use
Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kiciman, Munmun De Choudhury
International AAAI Conference on Web and Social Media (ICWSM 2019) | June 2019
Outstanding Study Design Paper Award
People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
Saleema Amershi, Ece Kamar, Emre Kiciman
Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health
Munmun De Choudhury, Emre Kiciman
AI Magazine | September 2018, Vol 39(3)
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
Emre Kiciman, Scott Counts, Melissa Gasser
In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
Conjunction of factors triggering waves of seasonal influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
eLife | February 2018, Vol 7: pp. e30756
Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
Bloomberg Data for Good Exchange | September 2017
Conjunction of Factors Triggering Waves of Seasonal Influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
BioRxiv | July 2017
Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
Animal Population Estimation Using Flickr Images
Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
Mining Web Logs to Debug Distant Connectivity Problems
Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06)
-
Observer Effect in Social Media Use
Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
January 2023
Honorable Mention, CHI 2024
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
AAAI 2022 | February 2022
Measuring algorithmically infused societies
Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kiciman, Noshir Contractor, Tina Eliassi-Rad
Nature | June 2021, Vol 595: pp. 197-204
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
Smart Societies: From Citizens as Sensors to Collective Action
Andrés Monroy-Hernández, Shelly D. Farnham, Ph.D., Emre Kiciman, Scott Counts, Munmun De Choudhury
interactions | July 2013
“Narcotweets”: Social Media in Wartime
Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
Live Monitoring: Using Adaptive Instrumentation and Analysis to Debug and Maintain Web Applications
Emre Kiciman, Helen Wang
The 11th Workshop on Hot Topics in Operating Systems (HotOS XI) | May 2007
The 11th Workshop on Hot Topics in Operating Systems (HotOS XI)
-
Observer Effect in Social Media Use
Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
January 2023
Honorable Mention, CHI 2024
Population-scale dietary interests during the COVID-19 pandemic.
Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
Nature Communications | February 2022, Vol 13(1073)
Measuring algorithmically infused societies
Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kiciman, Noshir Contractor, Tina Eliassi-Rad
Nature | June 2021, Vol 595: pp. 197-204
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
Emre Kiciman, Scott Counts, Melissa Gasser
In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
Munmun De Choudhury, Emre Kiciman
Proceedings of the International Conference on Web and Social Media (ICWSM-17) | May 2017
Best Paper Award
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
December 2016
Information Dissemination in Heterogeneous-Intent Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
Web Science | May 2016
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
Honorable Mention
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
PlosONE | January 2016, Vol 11
Persona-ization: Searching on Behalf of Others
Paul N. Bennett, Alexander Fishkov, Emre Kiciman
Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS'15) | August 2015
International Workshop on Social Personalisation & Search (SPS 2015)
Towards Learning a Knowledge Base of Actions from Experiential Microblogs
AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
AAAI Spring Symposium on Knowledge Representation and Reasoning
Online And Social Media Data As A Flawed Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
MSR-TR-2014-159 | May 2014
Effect of Persuasion on Information Diffusion in Social Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman
MSR-TR-2014-69 | May 2014
Smart Societies: From Citizens as Sensors to Collective Action
Andrés Monroy-Hernández, Shelly D. Farnham, Ph.D., Emre Kiciman, Scott Counts, Munmun De Choudhury
interactions | July 2013
The New War Correspondents: The Rise of Civic Media Curation in Urban Warfare
Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Munmun De Choudhury, Scott Counts
The 16th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) | February 2013
OMG, I have to Tweet that! A Study of Factors that Influence Tweet Rates
The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
“Narcotweets”: Social Media in Wartime
Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
Language Differences and Metadata Features on Twitter
Web N-gram Workshop at SIGIR 2010 | July 2010
-
Invariant Language Modeling
Maxim Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
2022 Empirical Methods in Natural Language Processing | December 2022
Invariant Language Modeling
Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
EMNLP 2022 | October 2021
Discussion Graphs: Putting Social Media Analysis in Context
Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
Intl. Conf. on Weblogs and Social Media (ICWSM-14) | June 2014
-
I Know Your Triggers: Defending against Textual Backdoor Attacks with Benign Backdoor Augmentation
Yue Gao, Jack W. Stokes, Manoj Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman
Military Communications Conference | November 2022
Discovering Correctness Constraints for Self-Management of System Configuration
Emre Kiciman, Yi-Min Wang
MSR-TR-2004-22 | March 2004
-
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
NeurIPS 2022 Workshop on Distribution Shifts (DistShift) | November 2022
Causal Inference in the Presence of Interference in Sponsored Search Advertising
Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
Frontiers in Big Data | June 2022, Vol 5
Population-scale dietary interests during the COVID-19 pandemic.
Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
Nature Communications | February 2022, Vol 13(1073)
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines
Alexandra Olteanu, Onur Varol, Emre Kiciman
International Conference on Web and Social Media (ICWSM) | May 2016
Persona-ization: Searching on Behalf of Others
Paul N. Bennett, Alexander Fishkov, Emre Kiciman
Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS'15) | August 2015
International Workshop on Social Personalisation & Search (SPS 2015)
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media
Emre Kiciman, Matthew Richardson
KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2015
Knowledge Discovery and Data Mining (KDD)
Towards Learning a Knowledge Base of Actions from Experiential Microblogs
AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
AAAI Spring Symposium on Knowledge Representation and Reasoning
Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models
Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
WSDM '14 Proceedings of the 7th ACM international conference on Web search and data mining | February 2014
Click Patterns: An Empirical Representation of Complex Query Intents
Huizhong Duan, Emre Kiciman, Chengxiang Zhai
21st ACM International Conference on Information and Knowledge Management (CIKM 2012) | October 2012
21st ACM International Conference on Information and Knowledge Management (CIKM 2012)
Language Differences and Metadata Features on Twitter
Web N-gram Workshop at SIGIR 2010 | July 2010
Fast Variational Inference for Large-scale Internet Diagnosis
John Platt, Emre Kiciman, Dave Maltz
The Conference on Neural Information Processing Systems (NIPS) | December 2007
-
Causal Modeling of Soil Processes for Improved Generalization
Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | November 2022
Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
Bloomberg Data for Good Exchange | September 2017
Animal Population Estimation Using Flickr Images
Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
-
System Support for Interactive Workspaces
Brad Johanson, Shankar Ponnekanti, Emre Kiciman, Caesar Sengupta, Armando Fox
PTN-2001-1 | July 2001
TLDI '03 Proceedings of the 2003 ACM SIGPLAN international workshop on Types in Languages Design and Implementation
Towards Zero-Code Service Composition (Position paper)
Emre Kiciman, Laurence Melloul
The Eighth Workshop in Hot Topics in Operating Systems | May 2001
ICEBERG: An Internet-core Network Architecture for Integrated Communications
Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy H. Katz
IEEE Personal Communications | April 2000
ICEBERG: An Internet-core Network Architecture for Integrated Communications
Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy Katz
IEEE Personal Communications: Special Issue on IP-based Mobile Telecommunications Networks | January 2000
Using Dynamic Mediation to Integrate COTS Entities in a Ubiquitous Computing Environment
Emre Kiciman, Armando Fox
Second International Symposium on Handheld and Ubiquitous Computing | January 2000
Security and Machine Learning in the Real World
Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
July 2020
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications
Emre Kiciman, Benjamin Livshits, Ben Livshits
ACM Transactions on the Web (TWEB) | September 2010
This journal article is an extension of our SOSP paper on AjaxScope, and discusses significant follow-on work, including Doloto and MEDic. MEDic is a control and visualizatio ntool for Web application instrumentation to enable on-line debugging; and Doloto, a code splitter that optimizes Web application download time based on analysis of its runtime behavior.
Fluxo: A System for Internet Service Programming by Non-expert Developers
Emre Kiciman, Ben Livshits, Madan Musuvathi, Kevin C. Webb
ACM Symposium on Cloud Computing | January 2010
(Short Paper) Improving the Responsiveness of Internet Services with Automatic Cache Placement
Alex Rasmussen, Emre Kiciman, Ben Livshits, Madan Musuvathi
EuroSys 2009 | April 2009
Doloto: Code Splitting for Network-Bound Web 2.0 Applications
Ben Livshits, Emre Kiciman
Foundations of Software Engineering (FSE) | November 2008
Foundations of Software Engineering (FSE)
Fast Variational Inference for Large-scale Internet Diagnosis
John Platt, Emre Kiciman, Dave Maltz
The Conference on Neural Information Processing Systems (NIPS) | December 2007
Doloto: Code Splitting for Network-Bound Web 2.0 Applications
Emre Kiciman, Ben Livshits
MSR-TR-2007-159 | December 2007
AjaxScope: A Platform for Remotely Monitoring the Client-side Behavior of Web 2.0 Applications
Emre Kiciman, Ben Livshits
The 21st ACM Symposium on Operating Systems Principles (SOSP'07) | October 2007
Mining Web Logs to Debug Distant Connectivity Problems
Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
Autonomic network management: Some pragmatic considerations
Richard Mortier, Emre Kiciman
ACM SIGCOMM Workshop on Internet Network Management (INM) | September 2006
Mining Web Logs to Debug Distant Connectivity Problems
Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06)
Analyzing Persistent State Interactions to Improve State Management
Chad Verbowski, Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Juhan Lee
MSR-TR-2006-39 | April 2006
Detecting Application-Level Failures in Component-based Internet Services
Emre Kiciman, Armando Fox
IEEE Transactions on Neural Networks: Special Issue on Adaptive Learning Systems in Communication Networks | September 2005
Using Statistical Monitoring to Detect Failures in Internet Services
September 2005
September 2005
Root Cause Localization in Large Scale Systems
Emre Kiciman, Lakshminarayanan Subramanian
Proceedings of the First Workshop on Hot Topics in System Dependability (HotDep) | June 2005
Combining Statistical Monitoring and Predictable Recovery for Self-Management
Armando Fox, Emre Kiciman, David Patterson, Michael Jordan, Randy Katz
2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12 | October 2004
2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12
Earlier version presented at 2nd Bertinoro Workshop on Future Directions in Distributed Computing (FuDiCo II): Survivability: Obstacles and Solutions, June 2004
Session State: Beyond Soft State
Benjamin C. Ling, Emre Kiciman, Armando Fox
the 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
Path-Based Failure and Evolution Management
Mike Y. Chen, Anthony Accardi, Emre Kiciman, Jim Lloyd, Dave Patterson, Armando Fox, Eric Brewer
The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04)
JAGR: An Autonomous Self-Recovering Application Server
George Candea, Emre Kiciman, Steve Zhang, Pedram Keyani, Armando Fox
The 5th International Workshop on Active Middleware Services | June 2003
Using Runtime Paths for Macro Analysis
Mike Chen, Emre Kiciman, Anthony Accardi, Armando Fox, Eric Brewer
9th Workshop on Hot Topics in Operating Systems | May 2003
The Roma Personal Metadata Service
Edward Swierk, Emre Kiciman, Nathan C. Williams, Takashi Fukushima, Hideki Yoshida, Vince Laviano, Mary Baker
ACM Baltzer Mobile Networks and Applications | October 2002
Recovery Oriented Computing: Motivation, Definition, Principles, and Examples
David Patterson, Aaron Brown, Pete Broadwell, George Candea, Mike Chen, James Cutler, Patricia Enriquez, Armando Fox, Emre Kiciman, Matthew Merzbacher, David Oppenheimer, Naveen Sastry, William Tetzlaff, Jonathan Traupman, Noah Treuhaft
| March 2002
Ph.D. thesis (supervisors: Li Deng, Paul Fieguth, University of Waterloo, Ontario, Canada)
Pinpoint: Problem Determination in Large, Dynamic, Internet Services
Mike Chen, Emre Kiciman, Eugene Fratkin, Armando Fox, Eric Brewer
The International Conference on Dependable Systems and Networks (IPDS Track) | January 2002
Designing for Maintainability, Failure Resilience, and Evolvability in Ubiquitous Computing Software
Shankar Ponnekanti, Brad Johanson, Emre Kiciman, Armando Fox
| January 2002
PG 2006
Using Internet Services to Manage Massive Evolving Information for Ubiquitous Computing Systems
Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002 | January 2002
Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002
-
Geographically Resolved Rhythms in Twitter Use Reveal Social Pressures on Daily Activity Patterns
Eugene Leypunskiy, Emre Kiciman, Mili Shah, Olivia J. Walch, Andrey Rzhetsky, Aaron R. Dinner, Michael J. Rust
Current Biology | November 2018, Vol 28: pp. 3763-3775
Conjunction of factors triggering waves of seasonal influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
eLife | February 2018, Vol 7: pp. e30756
Conjunction of Factors Triggering Waves of Seasonal Influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
BioRxiv | July 2017
Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
-
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
December 2016
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
Analyzing Persistent State Interactions to Improve State Management
Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Chad Verbowski, Juhan Lee
ACM SIGMETRICS 2006 | June 2006
ACM SIGMETRICS 2006
Short Paper.
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To Link or Not to Link? A Study on End-to-End Tweet Entity Linking
Stephen Guo, Ming-Wei Chang, Emre Kiciman
NAACL-HLT 2013 | June 2013
Keeping Information Safe from Social Networking Apps
Bimal Viswanath, Emre Kiciman, Stefan Saroiu
Proceedings of the Workshop on Online Social Networks (WOSN'12) | August 2012
Tweeting the Drug War: Empowerment, Intimidation, and Regulation in Social Media
Emre Kiciman, danah boyd, Scott Counts, Andrés Monroy-Hernández
Human Computer Interaction International Conference | June 2012
HCIC
The Roma Personal Metadata Service
Edward Swierk, Emre Kiciman, Vince Laviano, Mary Baker
The 3rd IEEE Workshop on Mobile Computing Systems and Applications | May 2007
-
Simple and Knowledge-intensive Generative Model for Named Entity Recognition
Chun-Kai Wang, Bo-June (Paul) Hsu, Ming-Wei Chang, Emre Kiciman
MSR-TR-2013-3 | January 2013
AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications
Emre Kiciman, Benjamin Livshits, Ben Livshits
ACM Transactions on the Web (TWEB) | September 2010
This journal article is an extension of our SOSP paper on AjaxScope, and discusses significant follow-on work, including Doloto and MEDic. MEDic is a control and visualizatio ntool for Web application instrumentation to enable on-line debugging; and Doloto, a code splitter that optimizes Web application download time based on analysis of its runtime behavior.
FLUXO: A Simple Service Compiler
Emre Kiciman, Ben Livshits, Madan Musuvathi
12th Workshop on Hot Topics in Operating Systems | May 2009
12th Workshop on Hot Topics in Operating Systems
(Short Paper) Improving the Responsiveness of Internet Services with Automatic Cache Placement
Alex Rasmussen, Emre Kiciman, Ben Livshits, Madan Musuvathi
EuroSys 2009 | April 2009
Doloto: Code Splitting for Network-Bound Web 2.0 Applications
Ben Livshits, Emre Kiciman
Foundations of Software Engineering (FSE) | November 2008
Foundations of Software Engineering (FSE)
Doloto: Code Splitting for Network-Bound Web 2.0 Applications
Emre Kiciman, Ben Livshits
MSR-TR-2007-159 | December 2007
AjaxScope: A Platform for Remotely Monitoring the Client-side Behavior of Web 2.0 Applications
Emre Kiciman, Ben Livshits
The 21st ACM Symposium on Operating Systems Principles (SOSP'07) | October 2007
-
Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management
Emre Kiciman, Brad Daniels, Arunvijay Kumar, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee, Chad Verbowski
The 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI '06) | November 2006
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Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management
Emre Kiciman, Brad Daniels, Arunvijay Kumar, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee, Chad Verbowski
The 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI '06) | November 2006
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An Online Evolutionary Approach to Developing Internet Services
Mike Y. Chen, Emre Kiciman, Eric Brewer
SIGOPS European Workshop | January 2002
Extended Abstract
Publications by Type
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Towards Zero-Code Service Composition (Position paper)
Emre Kiciman, Laurence Melloul
The Eighth Workshop in Hot Topics in Operating Systems | May 2001
Using Dynamic Mediation to Integrate COTS Entities in a Ubiquitous Computing Environment
Emre Kiciman, Armando Fox
Second International Symposium on Handheld and Ubiquitous Computing | January 2000
Towards Modular Machine Learning Pipelines
Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
International Conference on Learning Representations (ICLR) | January 2023
Notable Top-25% of accepted papers
Invariant Language Modeling
Maxim Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
2022 Empirical Methods in Natural Language Processing | December 2022
A Causal AI Suite for Decision-Making
Emre Kiciman, Eleanor Dillon, Darren Edge, Adam Foster, Agrin Hilmkil, Joel Jennings, Chao Ma, Robert Osazuwa Ness, Nick Pawlowski, Amit Sharma, Cheng Zhang
NeurIPS 2022 Workshop on Causality for Real-world Impact | December 2022
I Know Your Triggers: Defending against Textual Backdoor Attacks with Benign Backdoor Augmentation
Yue Gao, Jack W. Stokes, Manoj Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman
Military Communications Conference | November 2022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
NeurIPS 2022 Workshop on Distribution Shifts (DistShift) | November 2022
Causal Modeling of Soil Processes for Improved Generalization
Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | November 2022
Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
Workshop on Spurious Correlations, Invariance, and Stability, ICML 2022 | July 2022
Spotlight
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
AAAI 2022 | February 2022
Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study
Kristina Gligorić, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
CM Conference on Computer-Supported Cooperative Work and Social Computing CSCW | October 2021
Honorable Mention
Invariant Language Modeling
Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
EMNLP 2022 | October 2021
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
14th ACM Intl Conf. on Web Search and Data Mining (WSDM) | March 2021
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
External Information Sharing on Health Forums: An Exploration
Dana Nguyen, Alexandra Olteanu, Emre Kiciman
Intl. Conf. on Web and Social Media (ICWSM) | June 2020
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring
Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
7th Conference on Human Computation and Crowdsourcing (HCOMP 2019) | September 2019
A Social Media Study on the Effects of Psychiatric Medication Use
Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kiciman, Munmun De Choudhury
International AAAI Conference on Web and Social Media (ICWSM 2019) | June 2019
Outstanding Study Design Paper Award
People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
Saleema Amershi, Ece Kamar, Emre Kiciman
Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
Emre Kiciman, Scott Counts, Melissa Gasser
In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
Animal Population Estimation Using Flickr Images
Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
Munmun De Choudhury, Emre Kiciman
Proceedings of the International Conference on Web and Social Media (ICWSM-17) | May 2017
Best Paper Award
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
Information Dissemination in Heterogeneous-Intent Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
Web Science | May 2016
Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines
Alexandra Olteanu, Onur Varol, Emre Kiciman
International Conference on Web and Social Media (ICWSM) | May 2016
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
Honorable Mention
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
Persona-ization: Searching on Behalf of Others
Paul N. Bennett, Alexander Fishkov, Emre Kiciman
Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS'15) | August 2015
International Workshop on Social Personalisation & Search (SPS 2015)
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media
Emre Kiciman, Matthew Richardson
KDD '15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2015
Knowledge Discovery and Data Mining (KDD)
Towards Learning a Knowledge Base of Actions from Experiential Microblogs
AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
AAAI Spring Symposium on Knowledge Representation and Reasoning
Discussion Graphs: Putting Social Media Analysis in Context
Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
Intl. Conf. on Weblogs and Social Media (ICWSM-14) | June 2014
Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models
Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
WSDM '14 Proceedings of the 7th ACM international conference on Web search and data mining | February 2014
To Link or Not to Link? A Study on End-to-End Tweet Entity Linking
Stephen Guo, Ming-Wei Chang, Emre Kiciman
NAACL-HLT 2013 | June 2013
The New War Correspondents: The Rise of Civic Media Curation in Urban Warfare
Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Munmun De Choudhury, Scott Counts
The 16th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) | February 2013
Click Patterns: An Empirical Representation of Complex Query Intents
Huizhong Duan, Emre Kiciman, Chengxiang Zhai
21st ACM International Conference on Information and Knowledge Management (CIKM 2012) | October 2012
21st ACM International Conference on Information and Knowledge Management (CIKM 2012)
Keeping Information Safe from Social Networking Apps
Bimal Viswanath, Emre Kiciman, Stefan Saroiu
Proceedings of the Workshop on Online Social Networks (WOSN'12) | August 2012
Tweeting the Drug War: Empowerment, Intimidation, and Regulation in Social Media
Emre Kiciman, danah boyd, Scott Counts, Andrés Monroy-Hernández
Human Computer Interaction International Conference | June 2012
HCIC
OMG, I have to Tweet that! A Study of Factors that Influence Tweet Rates
The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
“Narcotweets”: Social Media in Wartime
Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
The 6th Intl. Conference on Weblogs and Social Media (ICWSM) | June 2012
Language Differences and Metadata Features on Twitter
Web N-gram Workshop at SIGIR 2010 | July 2010
Fluxo: A System for Internet Service Programming by Non-expert Developers
Emre Kiciman, Ben Livshits, Madan Musuvathi, Kevin C. Webb
ACM Symposium on Cloud Computing | January 2010
FLUXO: A Simple Service Compiler
Emre Kiciman, Ben Livshits, Madan Musuvathi
12th Workshop on Hot Topics in Operating Systems | May 2009
12th Workshop on Hot Topics in Operating Systems
(Short Paper) Improving the Responsiveness of Internet Services with Automatic Cache Placement
Alex Rasmussen, Emre Kiciman, Ben Livshits, Madan Musuvathi
EuroSys 2009 | April 2009
Doloto: Code Splitting for Network-Bound Web 2.0 Applications
Ben Livshits, Emre Kiciman
Foundations of Software Engineering (FSE) | November 2008
Foundations of Software Engineering (FSE)
Fast Variational Inference for Large-scale Internet Diagnosis
John Platt, Emre Kiciman, Dave Maltz
The Conference on Neural Information Processing Systems (NIPS) | December 2007
AjaxScope: A Platform for Remotely Monitoring the Client-side Behavior of Web 2.0 Applications
Emre Kiciman, Ben Livshits
The 21st ACM Symposium on Operating Systems Principles (SOSP'07) | October 2007
The Roma Personal Metadata Service
Edward Swierk, Emre Kiciman, Vince Laviano, Mary Baker
The 3rd IEEE Workshop on Mobile Computing Systems and Applications | May 2007
Live Monitoring: Using Adaptive Instrumentation and Analysis to Debug and Maintain Web Applications
Emre Kiciman, Helen Wang
The 11th Workshop on Hot Topics in Operating Systems (HotOS XI) | May 2007
The 11th Workshop on Hot Topics in Operating Systems (HotOS XI)
Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management
Emre Kiciman, Brad Daniels, Arunvijay Kumar, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee, Chad Verbowski
The 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI '06) | November 2006
Mining Web Logs to Debug Distant Connectivity Problems
Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
Autonomic network management: Some pragmatic considerations
Richard Mortier, Emre Kiciman
ACM SIGCOMM Workshop on Internet Network Management (INM) | September 2006
Mining Web Logs to Debug Distant Connectivity Problems
Emre Kiciman, Dave Maltz, Moises Goldszmidt, John Platt
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06) | September 2006
ACM SIGCOMM Workshop on Mining Network Data (MineNet-06)
Analyzing Persistent State Interactions to Improve State Management
Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Chad Verbowski, Juhan Lee
ACM SIGMETRICS 2006 | June 2006
ACM SIGMETRICS 2006
Short Paper.
Root Cause Localization in Large Scale Systems
Emre Kiciman, Lakshminarayanan Subramanian
Proceedings of the First Workshop on Hot Topics in System Dependability (HotDep) | June 2005
Combining Statistical Monitoring and Predictable Recovery for Self-Management
Armando Fox, Emre Kiciman, David Patterson, Michael Jordan, Randy Katz
2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12 | October 2004
2004 Workshop on Self-Managed Systems (WOSS'04) in conjunction with ACM SIGSOFT FSE-12
Earlier version presented at 2nd Bertinoro Workshop on Future Directions in Distributed Computing (FuDiCo II): Survivability: Obstacles and Solutions, June 2004
Session State: Beyond Soft State
Benjamin C. Ling, Emre Kiciman, Armando Fox
the 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
Path-Based Failure and Evolution Management
Mike Y. Chen, Anthony Accardi, Emre Kiciman, Jim Lloyd, Dave Patterson, Armando Fox, Eric Brewer
The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04) | March 2004
The 1st USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI '04)
JAGR: An Autonomous Self-Recovering Application Server
George Candea, Emre Kiciman, Steve Zhang, Pedram Keyani, Armando Fox
The 5th International Workshop on Active Middleware Services | June 2003
Using Runtime Paths for Macro Analysis
Mike Chen, Emre Kiciman, Anthony Accardi, Armando Fox, Eric Brewer
9th Workshop on Hot Topics in Operating Systems | May 2003
Pinpoint: Problem Determination in Large, Dynamic, Internet Services
Mike Chen, Emre Kiciman, Eugene Fratkin, Armando Fox, Eric Brewer
The International Conference on Dependable Systems and Networks (IPDS Track) | January 2002
An Online Evolutionary Approach to Developing Internet Services
Mike Y. Chen, Emre Kiciman, Eric Brewer
SIGOPS European Workshop | January 2002
Extended Abstract
Using Internet Services to Manage Massive Evolving Information for Ubiquitous Computing Systems
Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002 | January 2002
Ubicomp 2002 Doctoral Consortium. In the Adjunct Proceedings of the Fourth International Conference on Ubiquitous Computing (Ubicomp) 2002
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A Causal Roadmap for Generating High-Quality Real-World Evidence
Lauren E Dang, Susan Gruber, Hana Lee, Issa Dahabreh, Elizabeth A Stuart, Brian D Williamson, Richard Wyss, Iván Díaz, Debashis Ghosh, Emre Kiciman, Demissie Alemayehu, Katherine L Hoffman, Carla Y Vossen, Raymond A Huml, Henrik Ravn, Kajsa Kvist, Richard Pratley, Mei-Chiung Shih, Gene Pennello, David Martin, Salina P Waddy, Charles E Barr, Mouna Akacha, John B Buse, Mark van der Laan, Maya Petersen
May 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
April 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models
Arash Nasr-Esfahany, Emre Kiciman
January 2023
Security and Machine Learning in the Real World
Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
July 2020
AvE: Assistance via Empowerment
Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca Dragan
June 2020
Novel Human-Object Interaction Detection via Adversarial Domain Generalization
Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
May 2020
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
December 2016
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Observer Effect in Social Media Use
Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
January 2023
Honorable Mention, CHI 2024
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
January 2021
arXiv
DoWhy: An End-to-End Library for Causal Inference
November 2020
Causal Data Science Meeting (https://causalscience.org/)
Robust Neural Networks for Causal Invariant Features Extraction
Shuxi Zeng, Pengchuan Zhang, Denis Charles, Eren Manavoglu, Emre Kiciman
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
Causal Transfer Random Forest: Leveraging Observational and Randomization Studies
Shuxi Zeng, Emre Kiciman, Denis Charles, Joel Pfeiffer, Murat Ali Bayir
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
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ICEBERG: An Internet-core Network Architecture for Integrated Communications
Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy H. Katz
IEEE Personal Communications | April 2000
ICEBERG: An Internet-core Network Architecture for Integrated Communications
Helen Wang, Bhaskaran Raman, Chen-nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy Katz
IEEE Personal Communications: Special Issue on IP-based Mobile Telecommunications Networks | January 2000
Causal Inference in the Presence of Interference in Sponsored Search Advertising
Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
Frontiers in Big Data | June 2022, Vol 5
Population-scale dietary interests during the COVID-19 pandemic.
Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
Nature Communications | February 2022, Vol 13(1073)
Measuring algorithmically infused societies
Claudia Wagner, Markus Strohmaier, Alexandra Olteanu, Emre Kiciman, Noshir Contractor, Tina Eliassi-Rad
Nature | June 2021, Vol 595: pp. 197-204
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
Frontiers in Big Data | July 2019, Vol 2
Geographically Resolved Rhythms in Twitter Use Reveal Social Pressures on Daily Activity Patterns
Eugene Leypunskiy, Emre Kiciman, Mili Shah, Olivia J. Walch, Andrey Rzhetsky, Aaron R. Dinner, Michael J. Rust
Current Biology | November 2018, Vol 28: pp. 3763-3775
Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health
Munmun De Choudhury, Emre Kiciman
AI Magazine | September 2018, Vol 39(3)
Conjunction of factors triggering waves of seasonal influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
eLife | February 2018, Vol 7: pp. e30756
Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
Bloomberg Data for Good Exchange | September 2017
Conjunction of Factors Triggering Waves of Seasonal Influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
BioRxiv | July 2017
Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
PlosONE | January 2016, Vol 11
Smart Societies: From Citizens as Sensors to Collective Action
Andrés Monroy-Hernández, Shelly D. Farnham, Ph.D., Emre Kiciman, Scott Counts, Munmun De Choudhury
interactions | July 2013
AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications
Emre Kiciman, Benjamin Livshits, Ben Livshits
ACM Transactions on the Web (TWEB) | September 2010
This journal article is an extension of our SOSP paper on AjaxScope, and discusses significant follow-on work, including Doloto and MEDic. MEDic is a control and visualizatio ntool for Web application instrumentation to enable on-line debugging; and Doloto, a code splitter that optimizes Web application download time based on analysis of its runtime behavior.
Detecting Application-Level Failures in Component-based Internet Services
Emre Kiciman, Armando Fox
IEEE Transactions on Neural Networks: Special Issue on Adaptive Learning Systems in Communication Networks | September 2005
The Roma Personal Metadata Service
Edward Swierk, Emre Kiciman, Nathan C. Williams, Takashi Fukushima, Hideki Yoshida, Vince Laviano, Mary Baker
ACM Baltzer Mobile Networks and Applications | October 2002
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System Support for Interactive Workspaces
Brad Johanson, Shankar Ponnekanti, Emre Kiciman, Caesar Sengupta, Armando Fox
PTN-2001-1 | July 2001
TLDI '03 Proceedings of the 2003 ACM SIGPLAN international workshop on Types in Languages Design and Implementation
Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman (emrek), Amit Sharma, Martin Kukla, Nick Pawlowski, Miltos Allamanis, Cheng Zhang
MSR-TR-2022-1 | February 2022
Published by Microsoft
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
MSR-TR-2021-15 | July 2021
Published by ICML 2021 workshop on the Neglected Assumptions in Causal Inference
Online And Social Media Data As A Flawed Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
MSR-TR-2014-159 | May 2014
Effect of Persuasion on Information Diffusion in Social Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman
MSR-TR-2014-69 | May 2014
Simple and Knowledge-intensive Generative Model for Named Entity Recognition
Chun-Kai Wang, Bo-June (Paul) Hsu, Ming-Wei Chang, Emre Kiciman
MSR-TR-2013-3 | January 2013
Doloto: Code Splitting for Network-Bound Web 2.0 Applications
Emre Kiciman, Ben Livshits
MSR-TR-2007-159 | December 2007
Analyzing Persistent State Interactions to Improve State Management
Chad Verbowski, Emre Kiciman, Brad Daniels, Shan Lu, Roussi Roussev, Yi-Min Wang, Juhan Lee
MSR-TR-2006-39 | April 2006
Discovering Correctness Constraints for Self-Management of System Configuration
Emre Kiciman, Yi-Min Wang
MSR-TR-2004-22 | March 2004
Recovery Oriented Computing: Motivation, Definition, Principles, and Examples
David Patterson, Aaron Brown, Pete Broadwell, George Candea, Mike Chen, James Cutler, Patricia Enriquez, Armando Fox, Emre Kiciman, Matthew Merzbacher, David Oppenheimer, Naveen Sastry, William Tetzlaff, Jonathan Traupman, Noah Treuhaft
| March 2002
Ph.D. thesis (supervisors: Li Deng, Paul Fieguth, University of Waterloo, Ontario, Canada)
Designing for Maintainability, Failure Resilience, and Evolvability in Ubiquitous Computing Software
Shankar Ponnekanti, Brad Johanson, Emre Kiciman, Armando Fox
| January 2002
PG 2006
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Using Statistical Monitoring to Detect Failures in Internet Services
September 2005
September 2005