On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024 Uncertainty in Artificial Intelligence | July 2024
Adith Swaminathan
Principal Researcher
Publications
Publications by Year
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Importance of Directional Feedback for LLM-based Optimizers
Allen Nie, Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2023 Foundation Models for Decision Making Workshop | December 2023
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan
December 2023
December 2023
Interactive Robot Learning from Verbal Correction
Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng
CoRL 2023 Workshop on Language and Robot Learning (LangRob) | November 2023
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2023 | October 2023
Hindsight Learning for MDPs with Exogenous Inputs
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
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
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Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan
2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
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Heuristic-Guided Reinforcement Learning
Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2021 | December 2021
Recommendations as Treatments
Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang
AI Magazine | November 2021, Vol 42(3): pp. 19-30
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Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
2020 Neural Information Processing Systems | October 2020
Improved Image Wasserstein Attacks and Defenses
Edward J. Hu, Adith Swaminathan, Hadi Salman, Greg Yang
2020 International Conference on Learning Representations | July 2020
Best paper award at ICLR Trustworthy ML Workshop 2020
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Working Memory Graphs
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
2020 International Conference on Management of Data | June 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
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
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Customizing Scripted Bots: Sample Efficient Imitation Learning for Human-like Behavior in Minecraft
Brian Broll, Matthew Hausknecht, Dave Bignell, Adith Swaminathan
The Adaptive and Learning Agents (ALA) Workshop at AAMAS 2019 | May 2019
NAIL: A General Interactive Fiction Agent
Matthew Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, Jason Williams
arXiv: Machine Learning | February 2019
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
-
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
2018 International Conference on Learning Representations | May 2018
-
Off-Policy Evaluation For Slate Recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni
2017 Neural Information Processing Systems | December 2017
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
2017 Web Search and Data Mining | February 2017
Best Paper Award
-
Unbiased Comparative Evaluation of Ranking Functions
Tobias Schnabel, Adith Swaminathan, Peter Frazier, Thorsten Joachims
ACM International Conference on the Theory of Information Retrieval | September 2016
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims
2016 International Conference on Machine Learning | June 2016
-
Mining Videos from the Web for Electronic Textbooks
Rakesh Agrawal, Maria Chistofaraki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan
International Conference on Formal Concept Analysis (ICFCA) | June 2014
Publications by Research Area
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Trace is the New AutoDiff — Unlocking Efficient Optimization of Computational Workflows
Ching-An Cheng, Allen Nie, Adith Swaminathan
June 2024
Mining Videos from the Web for Electronic Textbooks
Rakesh Agrawal, Maria Chistofaraki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan
International Conference on Formal Concept Analysis (ICFCA) | June 2014
-
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024 Uncertainty in Artificial Intelligence | July 2024
Trace is the New AutoDiff — Unlocking Efficient Optimization of Computational Workflows
Ching-An Cheng, Allen Nie, Adith Swaminathan
June 2024
Importance of Directional Feedback for LLM-based Optimizers
Allen Nie, Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2023 Foundation Models for Decision Making Workshop | December 2023
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan
December 2023
December 2023
Interactive Robot Learning from Verbal Correction
Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng
CoRL 2023 Workshop on Language and Robot Learning (LangRob) | November 2023
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2023 | October 2023
Hindsight Learning for MDPs with Exogenous Inputs
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
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
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan
2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
Heuristic-Guided Reinforcement Learning
Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2021 | December 2021
Recommendations as Treatments
Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang
AI Magazine | November 2021, Vol 42(3): pp. 19-30
Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
2020 Neural Information Processing Systems | October 2020
Improved Image Wasserstein Attacks and Defenses
Edward J. Hu, Adith Swaminathan, Hadi Salman, Greg Yang
2020 International Conference on Learning Representations | July 2020
Best paper award at ICLR Trustworthy ML Workshop 2020
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Working Memory Graphs
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
2020 International Conference on Management of Data | June 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
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
Customizing Scripted Bots: Sample Efficient Imitation Learning for Human-like Behavior in Minecraft
Brian Broll, Matthew Hausknecht, Dave Bignell, Adith Swaminathan
The Adaptive and Learning Agents (ALA) Workshop at AAMAS 2019 | May 2019
NAIL: A General Interactive Fiction Agent
Matthew Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, Jason Williams
arXiv: Machine Learning | February 2019
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
2018 International Conference on Learning Representations | May 2018
Off-Policy Evaluation For Slate Recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni
2017 Neural Information Processing Systems | December 2017
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
2017 Web Search and Data Mining | February 2017
Best Paper Award
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims
2016 International Conference on Machine Learning | June 2016
-
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024 Uncertainty in Artificial Intelligence | July 2024
Recommendations as Treatments
Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang
AI Magazine | November 2021, Vol 42(3): pp. 19-30
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
2018 International Conference on Learning Representations | May 2018
Off-Policy Evaluation For Slate Recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni
2017 Neural Information Processing Systems | December 2017
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
2017 Web Search and Data Mining | February 2017
Best Paper Award
Unbiased Comparative Evaluation of Ranking Functions
Tobias Schnabel, Adith Swaminathan, Peter Frazier, Thorsten Joachims
ACM International Conference on the Theory of Information Retrieval | September 2016
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims
2016 International Conference on Machine Learning | June 2016
Mining Videos from the Web for Electronic Textbooks
Rakesh Agrawal, Maria Chistofaraki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan
International Conference on Formal Concept Analysis (ICFCA) | June 2014
-
Hindsight Learning for MDPs with Exogenous Inputs
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
-
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
2020 International Conference on Management of Data | June 2020
Publications by Type
-
-
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024 Uncertainty in Artificial Intelligence | July 2024
Importance of Directional Feedback for LLM-based Optimizers
Allen Nie, Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2023 Foundation Models for Decision Making Workshop | December 2023
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2023 | October 2023
Hindsight Learning for MDPs with Exogenous Inputs
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
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
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan
2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
Heuristic-Guided Reinforcement Learning
Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2021 | December 2021
Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
2020 Neural Information Processing Systems | October 2020
Improved Image Wasserstein Attacks and Defenses
Edward J. Hu, Adith Swaminathan, Hadi Salman, Greg Yang
2020 International Conference on Learning Representations | July 2020
Best paper award at ICLR Trustworthy ML Workshop 2020
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Working Memory Graphs
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
2020 International Conference on Management of Data | June 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
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
Customizing Scripted Bots: Sample Efficient Imitation Learning for Human-like Behavior in Minecraft
Brian Broll, Matthew Hausknecht, Dave Bignell, Adith Swaminathan
The Adaptive and Learning Agents (ALA) Workshop at AAMAS 2019 | May 2019
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
2018 International Conference on Learning Representations | May 2018
Off-Policy Evaluation For Slate Recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni
2017 Neural Information Processing Systems | December 2017
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
2017 Web Search and Data Mining | February 2017
Best Paper Award
Unbiased Comparative Evaluation of Ranking Functions
Tobias Schnabel, Adith Swaminathan, Peter Frazier, Thorsten Joachims
ACM International Conference on the Theory of Information Retrieval | September 2016
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims
2016 International Conference on Machine Learning | June 2016
Mining Videos from the Web for Electronic Textbooks
Rakesh Agrawal, Maria Chistofaraki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan
International Conference on Formal Concept Analysis (ICFCA) | June 2014
-
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan
December 2023
December 2023
-
Interactive Robot Learning from Verbal Correction
Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng
CoRL 2023 Workshop on Language and Robot Learning (LangRob) | November 2023
Recommendations as Treatments
Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang
AI Magazine | November 2021, Vol 42(3): pp. 19-30
NAIL: A General Interactive Fiction Agent
Matthew Hausknecht, Ricky Loynd, Greg Yang, Adith Swaminathan, Jason Williams
arXiv: Machine Learning | February 2019