Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Preprint
Project
Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Publication
Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang
ICLR 2023 | May 2023
Publication
Project
Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
April 2023
Publication
Arash Nasr-Esfahany, Emre Kiciman
January 2023
Publication
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
International Conference on Learning Representations (ICLR) | January 2023
Notable Top-25% of accepted papers
Publication
Project
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
Publication
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
Publication
Project
Project
Project
Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena
Computer and Communications Security (CCS) | November 2022
Publication
Project
Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma
ICML 2022 | July 2022
Publication
Project
Jivat Neet Kaur, Emre Kiciman, Amit Sharma
Workshop on Spurious Correlations, Invariance, and Stability, ICML 2022 | July 2022
Spotlight
Publication
Project
Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
Frontiers in Big Data |
June 2022, Vol 5
Publication
Ruibo Tu, Hedvig Kjellstrom, Kun Zhang, Cheng Zhang
ICLR 2022 | April 2022
Publication
Project
Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltos Allamanis, Cheng Zhang
2022 Neural Information Processing Systems | February 2022
Publication
Publication
Project
Philip Versteeg, Cheng Zhang, Joris Mooij
Conference on Causal Learning and Reasoning (CLeaR) | January 2022
Publication
Project
Saloni Dash, Vineeth Balasubramanian, Amit Sharma
Winter Conference on Applications of Computer Vision (WACV) | January 2022
PDF
Publication
Project
Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2021 | December 2021
Publication
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
Publication
Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Parikh Shah, Kevin Sherman, Brent Hecht, Jaime Teevan
Nature Human Behaviour |
September 2021
Publication
Project
Project
Divyat Mahajan, Shruti Tople, Amit Sharma
International Conference on Machine Learning (ICML) | July 2021
Publication
Github
Project
Project
Varun Chandrasekaran, Darren Edge, Somesh Jha, Amit Sharma, Cheng Zhang, Shruti Tople
Distributed and Private Machine Learning (DPML) Workshop at ICLR’21 | May 2021
PDF
Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
PDF
Publication
Project
Project
Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
14th ACM Intl Conf. on Web Search and Data Mining (WSDM) | March 2021
Publication
Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
PDF
Publication
Publication
Project
Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
AAAI Conference on Artificial Intelligence (AAAI) | February 2021
Publication
PDF
Project
Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
January 2021
arXiv
Publication
Divyat Mahajan, Shruti Tople, Amit Sharma
Privacy Preserving Machine Learning (PriML/PPML) Workshop at NeurIPS’20 | December 2020
PDF
Amit Sharma, Emre Kiciman
November 2020
Causal Data Science Meeting (https://causalscience.org/)
Publication
Video
Github
Project
Virgina Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
Neural Information Processing Systems (NeurIPS 2020) | October 2020
Publication
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
2020 Neural Information Processing Systems | October 2020
Publication
Project
Tobias Schnabel, Paul Bennett
RecSys | September 2020
PDF
Github
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Publication
PDF
Project
Shruti Tople, Amit Sharma, Aditya V. Nori
International Conference on Machine Learning (ICML) | July 2020
Publication
Github
Project
Project
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI’20) | February 2020
Publication
Project
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) | February 2020
PDF
Publication
Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
ACM Conference on Fairness, Accountability, and Transparency | January 2020
PDF
Project
Project
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
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
Divyat Mahajan, Chenhao Tan, Amit Sharma
CausalML: Machine Learning and Causal Inference for Improved Decision Making Workshop, NeurIPS 2019 | December 2019
Publication
Project
Tobias Schnabel, Andrew Bennett, Nathan Kallus
NeurIPS | December 2019
Author's Version
Ruibo Tu, Kun Zhang, Bo Christer Bertilson, Hedvig Kjellström, Cheng Zhang
June 2019
Publication
Project
Cheng Zhang, Yingzhen Li
June 2019
Publication
Project
Cheng Zhang, Ruibo Tu, Paul Ackermann, Karthika Mohan, Hedvig Kjellström, Kun Zhang
International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2019
Editor(s): Kamalika Chaudhuri, Masashi Sugiyama
Publication
Project
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
PDF
Amit Sharma
December 2018
Publication
Project
Amit Sharma, Jake Hofman, Duncan Watts
Annals of Applied Statistics |
December 2018, Vol 12(4): pp. 2699-2733
Publication
Emre Kiciman, Amit Sharma
ACM KDD International Conference on Knowledge Discovery and Data Mining | August 2018
Publication
Project
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
2018 International Conference on Learning Representations | May 2018
Publication
Publication
Project
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni
2017 Neural Information Processing Systems | December 2017
Publication
Project
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
Publication
Publication
Download
Project
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims
2016 International Conference on Machine Learning | June 2016
Publication