DoWhy: Causal Reasoning for Designing and Evaluating Interventions

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

2025 International Conference on Learning Representations | April 2025

Publication

Robust Root Cause Diagnosis using In-Distribution Interventions

Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma

2025 International Conference on Learning Representations | April 2025

Publication

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan

Transactions on Machine Learning Research (TMLR) | August 2024

Featured Certification

Selected for presentation at ICLR 2025

Publication Preprint

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

Publication

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

Publication Project Project

Matching Learned Causal Effects of Neural Networks with Domain Priors

Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma

ICML 2022 | July 2022

Publication

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

Publication

Domain Generalization using Causal Matching

Divyat Mahajan, Shruti Tople, Amit Sharma

International Conference on Machine Learning (ICML) | July 2021

Publication Github Project

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

Publication Project

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

PDF Publication Publication

DoWhy: An End-to-End Library for Causal Inference

Amit Sharma, Emre Kiciman

November 2020

Causal Data Science Meeting (https://causalscience.org/)

Publication Video Github

Alleviating Privacy Attacks via Causal Learning

Shruti Tople, Amit Sharma, Aditya V. Nori

International Conference on Machine Learning (ICML) | July 2020

Publication Github Project

Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables

Amit Sharma

December 2018

Publication

Tutorial on Causal Inference and Counterfactual Reasoning

Emre Kiciman, Amit Sharma

ACM KDD International Conference on Knowledge Discovery and Data Mining | August 2018

Publication

Robust Root Cause Diagnosis using In-Distribution Interventions

Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma

2025 International Conference on Learning Representations | April 2025

Publication

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

2025 International Conference on Learning Representations | April 2025

Publication

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan

Transactions on Machine Learning Research (TMLR) | August 2024

Featured Certification

Selected for presentation at ICLR 2025

Publication Preprint

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

Publication

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

Publication Project Project

Matching Learned Causal Effects of Neural Networks with Domain Priors

Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma

ICML 2022 | July 2022

Publication

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

Publication

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

Publication Project

Domain Generalization using Causal Matching

Divyat Mahajan, Shruti Tople, Amit Sharma

International Conference on Machine Learning (ICML) | July 2021

Publication Github Project

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

PDF Publication Publication

DoWhy: An End-to-End Library for Causal Inference

Amit Sharma, Emre Kiciman

November 2020

Causal Data Science Meeting (https://causalscience.org/)

Publication Video Github

Alleviating Privacy Attacks via Causal Learning

Shruti Tople, Amit Sharma, Aditya V. Nori

International Conference on Machine Learning (ICML) | July 2020

Publication Github Project

Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables

Amit Sharma

December 2018

Publication

Tutorial on Causal Inference and Counterfactual Reasoning

Emre Kiciman, Amit Sharma

ACM KDD International Conference on Knowledge Discovery and Data Mining | August 2018

Publication

Domain Generalization using Causal Matching

Divyat Mahajan, Shruti Tople, Amit Sharma

International Conference on Machine Learning (ICML) | July 2021

Publication Github Project

Alleviating Privacy Attacks via Causal Learning

Shruti Tople, Amit Sharma, Aditya V. Nori

International Conference on Machine Learning (ICML) | July 2020

Publication Github Project

Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables

Amit Sharma

December 2018

Publication

Robust Root Cause Diagnosis using In-Distribution Interventions

Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma

2025 International Conference on Learning Representations | April 2025

Publication

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

2025 International Conference on Learning Representations | April 2025

Publication

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

Publication

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

Publication Project Project

Matching Learned Causal Effects of Neural Networks with Domain Priors

Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma

ICML 2022 | July 2022

Publication

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

Publication

Domain Generalization using Causal Matching

Divyat Mahajan, Shruti Tople, Amit Sharma

International Conference on Machine Learning (ICML) | July 2021

Publication Github Project

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

PDF Publication Publication

Alleviating Privacy Attacks via Causal Learning

Shruti Tople, Amit Sharma, Aditya V. Nori

International Conference on Machine Learning (ICML) | July 2020

Publication Github Project

Tutorial on Causal Inference and Counterfactual Reasoning

Emre Kiciman, Amit Sharma

ACM KDD International Conference on Knowledge Discovery and Data Mining | August 2018

Publication

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan

Transactions on Machine Learning Research (TMLR) | August 2024

Featured Certification

Selected for presentation at ICLR 2025

Publication Preprint

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

Publication Project

DoWhy: An End-to-End Library for Causal Inference

Amit Sharma, Emre Kiciman

November 2020

Causal Data Science Meeting (https://causalscience.org/)

Publication Video Github

Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables

Amit Sharma

December 2018

Publication