Amit Sharma

Chercheur principal

Papiers de Collaboration

Afficher par:

- 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 Projet
- 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 Projet
- DEDUCE: Deductive Consistency as a Frame Work to Evaluate LLM Reasoning
  
  Atharva Pandey, Kshitij Dubey, Rahul Sharma, Amit Sharma
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  PDF
- Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
  
  Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication PDF
- Teaching Transformers Causal Reasoning through Axiomatic Training
  
  Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  DOI Publication Publication
- Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
  
  Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 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 Projet
- Causal Inference Using LLM-Guided Discovery
  
  Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
  
  CoRR | October 2023
  
  DOI Publication
- Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
  
  Y. Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart
  
  ICLR 2024 | September 2023
  
  DOI PDF
- 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
  
  Publication
- Combinatorial categorized bandits with expert rankings
  
  Gaurav Sinha, Sayak Ray Chowdhury, Nagarajan Natarajan, Amit Sharma
  
  UAI | July 2023
  
  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 Projet
- 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 Projet Projet Projet
- Counterfactual Generation Under Confounding
  
  Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian
  
  NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
  
  Publication
- 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
  
  Publication Projet Projet
- The Counterfactual-Shapley Value: Attributing Change in System Metrics
  
  Amit Sharma, Hua Li, Jian Jiao
  
  NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
  
  Publication
- 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
  
  Publication
- Probing Classifiers are Unreliable for Concept Removal and Detection
  
  Abhinav Kumar, Chenhao Tan, Amit Sharma
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- 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 Projet
- 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
  
  Publié par Microsoft
  
  Publication Projet Projet
- Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
  
  Saloni Dash, Vineeth Balasubramanian, Amit Sharma
  
  Winter Conference on Applications of Computer Vision (WACV) | January 2022
  
  PDF Publication Projet
- MINDNOTES: A Mobile Platform to enable users to break stigma around mental health and connect with therapists
  
  Prateek Chanda, Amogh Wagh, Jemimah A Johnson, Swaraj Renghe, Vageesh D C, George Mathews, Sapna Behar, Poornima Bhola, Girish Rao, Paulomi Sudhir, T K Srikanth, Amit Sharma, Seema Mehrotra
  
  October 2021
- Domain Generalization using Causal Matching
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  International Conference on Machine Learning (ICML) | July 2021
  
  Publication Github Projet Projet
- DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
  
  Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
  
  MSR-TR-2021-15 | July 2021
  
  Publié par ICML 2021 workshop on the Neglected Assumptions in Causal Inference
  
  Publication Projet Projet
- Causally Constrained Data Synthesis for Private Data Release
  
  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
- “Can I Not Be Suicidal on a Sunday?”: Understanding Technology-Mediated Pathways to Mental Health Support
  
  Sachin R. Pendse, Amit Sharma, Aditya Vashistha, Munmun De Choudhury, Neha Kumar
  
  CHI 2021 | April 2021
  
  DOI Publication Publication
- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
  
  Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
  
  PDF Publication Projet Projet
- 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 Projet
- The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
  
  Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
  
  AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  Publication PDF Projet
- The Connection between Out-of-Distribution Generalization and Privacy of ML Models
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  Privacy Preserving Machine Learning (PriML/PPML) Workshop at NeurIPS'20 | December 2020
  
  PDF
- DoWhy: An End-to-End Library for Causal Inference
  
  Amit Sharma, Emre Kiciman
  
  November 2020
  
  Causal Data Science Meeting (https://causalscience.org/)
  
  Publication Vidéo Github Projet
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Amit Sharma, Koustuv Saha
  
  Proceedings of the 14th International AAAI Conference on Web and Social Media (ICWSM) | August 2020
  
  DOI Publication PDF
- Alleviating Privacy Attacks via Causal Learning
  
  Shruti Tople, Amit Sharma, Aditya V. Nori
  
  International Conference on Machine Learning (ICML) | July 2020
  
  Publication Github Projet Projet
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Koustuv Saha, Amit Sharma
  
  AAAI International Conference on Web and Social Media (ICWSM) | June 2020
  
  PDF Projet
- Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms
  
  Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma
  
  AAAI International Conference on Web and Social Media (ICWSM) | June 2020
  
  PDF Projet
- Inframarginality Audit of Group-Fairness
  
  Amit Sharma, Arpita Biswas, Siddharth Barman
  
  June 2020
  
  Publication Projet
- Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field
  
  Devansh Mehta, Ramaravind K. Mothilal, Alok Sharma, Bill Thies, Amit Sharma
  
  ACM COMPASS: Conference on Computing and Sustainable Societies | June 2020
  
  Publication Projet
- Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi
  
  Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali
  
  Language Resources and Evaluation Conference (LREC) | May 2020
  
  PDF DOI Publication Projet
- “Like Shock Absorbers”: Understanding the Human Infrastructures of Technology-Mediated Mental Health Support
  
  Sachin Pendse, Faisal Lalani, Munmun De Choudhury, Amit Sharma, Neha Kumar
  
  ACM CHI Conference on Human Factors in Computing Systems | April 2020
  
  PDF Projet
- Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums
  
  Taisa Kushner, Amit Sharma
  
  ACM Web Conference (WWW) | April 2020
  
  Publication PDF Projet
- Facilitating Media Distribution With Monetary Incentives
  
  Devansh Mehta, Alok Sharma, Ramaravind K. Kommiya Mothilal, Chiraag, Anurag Shukla, Vishnu Prasad, Bill Thies, Venkanna U, Colin Scott, Amit Sharma
  
  2020 CHI Conference on Human Factors in Computing Systems | April 2020
  
  Publication
- Barriers to Professional Help-seeking for Distress and Potential Utility of a Mental Health App: Stakeholder Perspectives
  
  Jemimah Johnson, Janhavi Devdutt, Seema Mehrotra, Poornima Bhola, Paulomi Sudhir, Amit Sharma
  
  Cureus Journal of Medical Science | February 2020
  
  Publication Projet
- Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
  
  Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
  
  ACM Conference on Fairness, Accountability, and Transparency | January 2020
  
  PDF Github Projet Projet
- Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
  
  Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  CausalML: Machine Learning and Causal Inference for Improved Decision Making Workshop, NeurIPS 2019 | December 2019
  
  Publication Projet
- Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness
  
  Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, Bill Thies, Amit Sharma
  
  November 2019
  
  DOI
- Cross-Cultural Differences in the Use of Online Mental Health Support Forums
  
  Sachin R. Pendse, Kate Niederhoffer, Amit Sharma
  
  ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | November 2019
  
  Projet
- Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns
  
  Saiganesh Swaminathan, Indrani Medhi Thies, Devansh Mehta, Ed Cutrell, Amit Sharma, Bill Thies (thies)
  
  ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | November 2019
  
  Best of CSCW honorable mention
  
  Publication Projet
- Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention
  
  John A. Naslund, Pattie P. Gonsalves, Oliver Gruebner, Sachin R. Pendse, Stephanie L. Smith, Amit Sharma, Giuseppe Raviola
  
  Current Treatment Options in Psychiatry | September 2019
  
  Publication Projet
- Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data
  
  Jackson Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
  
  ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | August 2019
  
  PDF
- Learnings from deploying a voice-based social platform for people with disability
  
  Karn Dubey, Palash Gupta, Rachna Shriwas, Gayatri Gulvady, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF
- Mental health in the global south: Challenges and opportunities in HCI for development
  
  Sachin R. Pendse, Naveena Karusala, Divya Siddarth, Pattie Gonsalves, Seema Mehrotra, John A. Naslund, Mamta Sood, Neha Kumar, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF Projet
- Optimizing peer referrals for public awareness using contextual bandits
  
  Ramaravind K. Mothilal, Amulya Yadav, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF Projet
- Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums
  
  Yada Pruksachatkun, Sachin Pendse, Amit Sharma
  
  2019 CHI Conference on Human Factors in Computing Systems | May 2019
  
  PDF Projet
- Predicting History
  
  Joseph Risi, Amit Sharma, Rohan Shah, Matthew Connelly, Duncan J. Watts
  
  Nature Human Behavior | April 2019
  
  Publication
- Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables
  
  Amit Sharma
  
  December 2018
  
  Publication Projet
- Split-door criterion: Identification of causal effects through auxiliary outcomes
  
  Amit Sharma, Jake Hofman, Duncan Watts
  
  Annals of Applied Statistics | December 2018, Vol 12(4): pp. 2699-2733
  
  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 Projet
- Harvesting Randomness to Optimize Distributed Systems
  
  Mathias Lecuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins
  
  16th ACM Workshop on Hot Topics in Networks (HotNets) | November 2017
  
  Publication
- Auditing Search Engines for Differential Satisfaction Across Demographics
  
  Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna Wallach, Emine Yilmaz
  
  Proceedings of the 26th International Conference on World Wide Web (Industry Track) | April 2017
  
  Publication PDF
- Prediction and explanation in social systems
  
  Jake Hofman, Amit Sharma, Duncan Watts
  
  Science | February 2017, Vol 355: pp. 486-488
  
  Publication Publication Publication
- Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter
  
  Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts
  
  Proceedings of the 25th International Conference on World Wide Web | April 2016
  
  Publication
- Estimating the Causal Impact of Recommendation Systems from Observational Data
  
  Amit Sharma, Jake Hofman, Duncan Watts
  
  Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
  
  ISBN: 978-1-4503-3410-5
  
  Publication 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 Projet
- 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 Projet
- Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
  
  Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication PDF
- DEDUCE: Deductive Consistency as a Frame Work to Evaluate LLM Reasoning
  
  Atharva Pandey, Kshitij Dubey, Rahul Sharma, Amit Sharma
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  PDF
- Teaching Transformers Causal Reasoning through Axiomatic Training
  
  Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  DOI Publication Publication
- Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
  
  Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 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 Projet
- Causal Inference Using LLM-Guided Discovery
  
  Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
  
  CoRR | October 2023
  
  DOI Publication
- Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
  
  Y. Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart
  
  ICLR 2024 | September 2023
  
  DOI PDF
- 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
  
  Publication
- Combinatorial categorized bandits with expert rankings
  
  Gaurav Sinha, Sayak Ray Chowdhury, Nagarajan Natarajan, Amit Sharma
  
  UAI | July 2023
  
  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 Projet
- 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 Projet Projet Projet
- 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
  
  Publication
- 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
  
  Publication Projet Projet
- The Counterfactual-Shapley Value: Attributing Change in System Metrics
  
  Amit Sharma, Hua Li, Jian Jiao
  
  NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
  
  Publication
- Probing Classifiers are Unreliable for Concept Removal and Detection
  
  Abhinav Kumar, Chenhao Tan, Amit Sharma
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- 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 Projet
- 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
  
  Publié par Microsoft
  
  Publication Projet Projet
- Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
  
  Saloni Dash, Vineeth Balasubramanian, Amit Sharma
  
  Winter Conference on Applications of Computer Vision (WACV) | January 2022
  
  PDF Publication Projet
- DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
  
  Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
  
  MSR-TR-2021-15 | July 2021
  
  Publié par ICML 2021 workshop on the Neglected Assumptions in Causal Inference
  
  Publication Projet Projet
- Domain Generalization using Causal Matching
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  International Conference on Machine Learning (ICML) | July 2021
  
  Publication Github Projet Projet
- Causally Constrained Data Synthesis for Private Data Release
  
  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
- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
  
  Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
  
  PDF Publication Projet Projet
- 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 Projet
- The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
  
  Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
  
  AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  Publication PDF Projet
- The Connection between Out-of-Distribution Generalization and Privacy of ML Models
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  Privacy Preserving Machine Learning (PriML/PPML) Workshop at NeurIPS'20 | December 2020
  
  PDF
- DoWhy: An End-to-End Library for Causal Inference
  
  Amit Sharma, Emre Kiciman
  
  November 2020
  
  Causal Data Science Meeting (https://causalscience.org/)
  
  Publication Vidéo Github Projet
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Amit Sharma, Koustuv Saha
  
  Proceedings of the 14th International AAAI Conference on Web and Social Media (ICWSM) | August 2020
  
  DOI Publication PDF
- Alleviating Privacy Attacks via Causal Learning
  
  Shruti Tople, Amit Sharma, Aditya V. Nori
  
  International Conference on Machine Learning (ICML) | July 2020
  
  Publication Github Projet Projet
- Inframarginality Audit of Group-Fairness
  
  Amit Sharma, Arpita Biswas, Siddharth Barman
  
  June 2020
  
  Publication Projet
- Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
  
  Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
  
  ACM Conference on Fairness, Accountability, and Transparency | January 2020
  
  PDF Github Projet Projet
- Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
  
  Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  CausalML: Machine Learning and Causal Inference for Improved Decision Making Workshop, NeurIPS 2019 | December 2019
  
  Publication Projet
- Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness
  
  Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, Bill Thies, Amit Sharma
  
  November 2019
  
  DOI
- Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data
  
  Jackson Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
  
  ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | August 2019
  
  PDF
- Optimizing peer referrals for public awareness using contextual bandits
  
  Ramaravind K. Mothilal, Amulya Yadav, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF Projet
- Predicting History
  
  Joseph Risi, Amit Sharma, Rohan Shah, Matthew Connelly, Duncan J. Watts
  
  Nature Human Behavior | April 2019
  
  Publication
- Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables
  
  Amit Sharma
  
  December 2018
  
  Publication Projet
- Split-door criterion: Identification of causal effects through auxiliary outcomes
  
  Amit Sharma, Jake Hofman, Duncan Watts
  
  Annals of Applied Statistics | December 2018, Vol 12(4): pp. 2699-2733
  
  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 Projet
- “Can I Not Be Suicidal on a Sunday?”: Understanding Technology-Mediated Pathways to Mental Health Support
  
  Sachin R. Pendse, Amit Sharma, Aditya Vashistha, Munmun De Choudhury, Neha Kumar
  
  CHI 2021 | April 2021
  
  DOI Publication Publication
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Amit Sharma, Koustuv Saha
  
  Proceedings of the 14th International AAAI Conference on Web and Social Media (ICWSM) | August 2020
  
  DOI Publication PDF
- Cross-Cultural Differences in the Use of Online Mental Health Support Forums
  
  Sachin R. Pendse, Kate Niederhoffer, Amit Sharma
  
  ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | November 2019
  
  Projet
- Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns
  
  Saiganesh Swaminathan, Indrani Medhi Thies, Devansh Mehta, Ed Cutrell, Amit Sharma, Bill Thies (thies)
  
  ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | November 2019
  
  Best of CSCW honorable mention
  
  Publication Projet
- Estimating the Causal Impact of Recommendation Systems from Observational Data
  
  Amit Sharma, Jake Hofman, Duncan Watts
  
  Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
  
  ISBN: 978-1-4503-3410-5
  
  Publication Publication
- 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
  
  Publication
- Auditing Search Engines for Differential Satisfaction Across Demographics
  
  Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna Wallach, Emine Yilmaz
  
  Proceedings of the 26th International Conference on World Wide Web (Industry Track) | April 2017
  
  Publication PDF
- Estimating the Causal Impact of Recommendation Systems from Observational Data
  
  Amit Sharma, Jake Hofman, Duncan Watts
  
  Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
  
  ISBN: 978-1-4503-3410-5
  
  Publication Publication
- Counterfactual Generation Under Confounding
  
  Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian
  
  NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
  
  Publication
- Domain Generalization using Causal Matching
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  International Conference on Machine Learning (ICML) | July 2021
  
  Publication Github Projet Projet
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Amit Sharma, Koustuv Saha
  
  Proceedings of the 14th International AAAI Conference on Web and Social Media (ICWSM) | August 2020
  
  DOI Publication PDF
- Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms
  
  Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma
  
  AAAI International Conference on Web and Social Media (ICWSM) | June 2020
  
  PDF Projet
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Koustuv Saha, Amit Sharma
  
  AAAI International Conference on Web and Social Media (ICWSM) | June 2020
  
  PDF Projet
- Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums
  
  Taisa Kushner, Amit Sharma
  
  ACM Web Conference (WWW) | April 2020
  
  Publication PDF Projet
- “Like Shock Absorbers”: Understanding the Human Infrastructures of Technology-Mediated Mental Health Support
  
  Sachin Pendse, Faisal Lalani, Munmun De Choudhury, Amit Sharma, Neha Kumar
  
  ACM CHI Conference on Human Factors in Computing Systems | April 2020
  
  PDF Projet
- Barriers to Professional Help-seeking for Distress and Potential Utility of a Mental Health App: Stakeholder Perspectives
  
  Jemimah Johnson, Janhavi Devdutt, Seema Mehrotra, Poornima Bhola, Paulomi Sudhir, Amit Sharma
  
  Cureus Journal of Medical Science | February 2020
  
  Publication Projet
- Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention
  
  John A. Naslund, Pattie P. Gonsalves, Oliver Gruebner, Sachin R. Pendse, Stephanie L. Smith, Amit Sharma, Giuseppe Raviola
  
  Current Treatment Options in Psychiatry | September 2019
  
  Publication Projet
- Mental health in the global south: Challenges and opportunities in HCI for development
  
  Sachin R. Pendse, Naveena Karusala, Divya Siddarth, Pattie Gonsalves, Seema Mehrotra, John A. Naslund, Mamta Sood, Neha Kumar, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF Projet
- Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums
  
  Yada Pruksachatkun, Sachin Pendse, Amit Sharma
  
  2019 CHI Conference on Human Factors in Computing Systems | May 2019
  
  PDF Projet
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Amit Sharma, Koustuv Saha
  
  Proceedings of the 14th International AAAI Conference on Web and Social Media (ICWSM) | August 2020
  
  DOI Publication PDF
- Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field
  
  Devansh Mehta, Ramaravind K. Mothilal, Alok Sharma, Bill Thies, Amit Sharma
  
  ACM COMPASS: Conference on Computing and Sustainable Societies | June 2020
  
  Publication Projet
- Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi
  
  Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali
  
  Language Resources and Evaluation Conference (LREC) | May 2020
  
  PDF DOI Publication Projet
- Facilitating Media Distribution With Monetary Incentives
  
  Devansh Mehta, Alok Sharma, Ramaravind K. Kommiya Mothilal, Chiraag, Anurag Shukla, Vishnu Prasad, Bill Thies, Venkanna U, Colin Scott, Amit Sharma
  
  2020 CHI Conference on Human Factors in Computing Systems | April 2020
  
  Publication
- “Like Shock Absorbers”: Understanding the Human Infrastructures of Technology-Mediated Mental Health Support
  
  Sachin Pendse, Faisal Lalani, Munmun De Choudhury, Amit Sharma, Neha Kumar
  
  ACM CHI Conference on Human Factors in Computing Systems | April 2020
  
  PDF Projet
- Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness
  
  Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, Bill Thies, Amit Sharma
  
  November 2019
  
  DOI
- Cross-Cultural Differences in the Use of Online Mental Health Support Forums
  
  Sachin R. Pendse, Kate Niederhoffer, Amit Sharma
  
  ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | November 2019
  
  Projet
- Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns
  
  Saiganesh Swaminathan, Indrani Medhi Thies, Devansh Mehta, Ed Cutrell, Amit Sharma, Bill Thies (thies)
  
  ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | November 2019
  
  Best of CSCW honorable mention
  
  Publication Projet
- Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data
  
  Jackson Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
  
  ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | August 2019
  
  PDF
- Optimizing peer referrals for public awareness using contextual bandits
  
  Ramaravind K. Mothilal, Amulya Yadav, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF Projet
- Mental health in the global south: Challenges and opportunities in HCI for development
  
  Sachin R. Pendse, Naveena Karusala, Divya Siddarth, Pattie Gonsalves, Seema Mehrotra, John A. Naslund, Mamta Sood, Neha Kumar, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF Projet
- Learnings from deploying a voice-based social platform for people with disability
  
  Karn Dubey, Palash Gupta, Rachna Shriwas, Gayatri Gulvady, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF
- Causally Constrained Data Synthesis for Private Data Release
  
  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
- The Connection between Out-of-Distribution Generalization and Privacy of ML Models
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  Privacy Preserving Machine Learning (PriML/PPML) Workshop at NeurIPS'20 | December 2020
  
  PDF
- Alleviating Privacy Attacks via Causal Learning
  
  Shruti Tople, Amit Sharma, Aditya V. Nori
  
  International Conference on Machine Learning (ICML) | July 2020
  
  Publication Github Projet Projet
- MINDNOTES: A Mobile Platform to enable users to break stigma around mental health and connect with therapists
  
  Prateek Chanda, Amogh Wagh, Jemimah A Johnson, Swaraj Renghe, Vageesh D C, George Mathews, Sapna Behar, Poornima Bhola, Girish Rao, Paulomi Sudhir, T K Srikanth, Amit Sharma, Seema Mehrotra
  
  October 2021
- Predicting History
  
  Joseph Risi, Amit Sharma, Rohan Shah, Matthew Connelly, Duncan J. Watts
  
  Nature Human Behavior | April 2019
  
  Publication
- Prediction and explanation in social systems
  
  Jake Hofman, Amit Sharma, Duncan Watts
  
  Science | February 2017, Vol 355: pp. 486-488
  
  Publication Publication Publication
- Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter
  
  Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts
  
  Proceedings of the 25th International Conference on World Wide Web | April 2016
  
  Publication
- Estimating the Causal Impact of Recommendation Systems from Observational Data
  
  Amit Sharma, Jake Hofman, Duncan Watts
  
  Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
  
  ISBN: 978-1-4503-3410-5
  
  Publication Publication
- Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness
  
  Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, Bill Thies, Amit Sharma
  
  November 2019
  
  DOI
- Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness
  
  Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, Bill Thies, Amit Sharma
  
  November 2019
  
  DOI
- Harvesting Randomness to Optimize Distributed Systems
  
  Mathias Lecuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins
  
  16th ACM Workshop on Hot Topics in Networks (HotNets) | November 2017
  
  Publication
- Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms
  
  Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma
  
  AAAI International Conference on Web and Social Media (ICWSM) | June 2020
  
  PDF Projet
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Koustuv Saha, Amit Sharma
  
  AAAI International Conference on Web and Social Media (ICWSM) | June 2020
  
  PDF Projet
- Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi
  
  Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali
  
  Language Resources and Evaluation Conference (LREC) | May 2020
  
  PDF DOI Publication Projet
- Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums
  
  Taisa Kushner, Amit Sharma
  
  ACM Web Conference (WWW) | April 2020
  
  Publication PDF Projet
- Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums
  
  Yada Pruksachatkun, Sachin Pendse, Amit Sharma
  
  2019 CHI Conference on Human Factors in Computing Systems | May 2019
  
  PDF Projet
- Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables
  
  Amit Sharma
  
  December 2018
  
  Publication Projet
- Estimating the Causal Impact of Recommendation Systems from Observational Data
  
  Amit Sharma, Jake Hofman, Duncan Watts
  
  Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
  
  ISBN: 978-1-4503-3410-5
  
  Publication Publication
- Learnings from deploying a voice-based social platform for people with disability
  
  Karn Dubey, Palash Gupta, Rachna Shriwas, Gayatri Gulvady, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF

- 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 Projet
- 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 Projet
- Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
  
  Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication PDF
- DEDUCE: Deductive Consistency as a Frame Work to Evaluate LLM Reasoning
  
  Atharva Pandey, Kshitij Dubey, Rahul Sharma, Amit Sharma
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  PDF
- Teaching Transformers Causal Reasoning through Axiomatic Training
  
  Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  DOI Publication Publication
- Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
  
  Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma
  
  ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication
- Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
  
  Y. Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart
  
  ICLR 2024 | September 2023
  
  DOI PDF
- 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
  
  Publication
- Combinatorial categorized bandits with expert rankings
  
  Gaurav Sinha, Sayak Ray Chowdhury, Nagarajan Natarajan, Amit Sharma
  
  UAI | July 2023
  
  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 Projet
- 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 Projet Projet Projet
- 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
  
  Publication
- 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
  
  Publication Projet Projet
- Counterfactual Generation Under Confounding
  
  Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian
  
  NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
  
  Publication
- The Counterfactual-Shapley Value: Attributing Change in System Metrics
  
  Amit Sharma, Hua Li, Jian Jiao
  
  NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
  
  Publication
- Probing Classifiers are Unreliable for Concept Removal and Detection
  
  Abhinav Kumar, Chenhao Tan, Amit Sharma
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- 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 Projet
- Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
  
  Saloni Dash, Vineeth Balasubramanian, Amit Sharma
  
  Winter Conference on Applications of Computer Vision (WACV) | January 2022
  
  PDF Publication Projet
- Domain Generalization using Causal Matching
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  International Conference on Machine Learning (ICML) | July 2021
  
  Publication Github Projet Projet
- Causally Constrained Data Synthesis for Private Data Release
  
  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
- “Can I Not Be Suicidal on a Sunday?”: Understanding Technology-Mediated Pathways to Mental Health Support
  
  Sachin R. Pendse, Amit Sharma, Aditya Vashistha, Munmun De Choudhury, Neha Kumar
  
  CHI 2021 | April 2021
  
  DOI Publication Publication
- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
  
  Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
  
  PDF Publication Projet Projet
- 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 Projet
- The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
  
  Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
  
  AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  Publication PDF Projet
- The Connection between Out-of-Distribution Generalization and Privacy of ML Models
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  Privacy Preserving Machine Learning (PriML/PPML) Workshop at NeurIPS'20 | December 2020
  
  PDF
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Amit Sharma, Koustuv Saha
  
  Proceedings of the 14th International AAAI Conference on Web and Social Media (ICWSM) | August 2020
  
  DOI Publication PDF
- Alleviating Privacy Attacks via Causal Learning
  
  Shruti Tople, Amit Sharma, Aditya V. Nori
  
  International Conference on Machine Learning (ICML) | July 2020
  
  Publication Github Projet Projet
- Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field
  
  Devansh Mehta, Ramaravind K. Mothilal, Alok Sharma, Bill Thies, Amit Sharma
  
  ACM COMPASS: Conference on Computing and Sustainable Societies | June 2020
  
  Publication Projet
- Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms
  
  Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma
  
  AAAI International Conference on Web and Social Media (ICWSM) | June 2020
  
  PDF Projet
- Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
  
  Koustuv Saha, Amit Sharma
  
  AAAI International Conference on Web and Social Media (ICWSM) | June 2020
  
  PDF Projet
- Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi
  
  Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali
  
  Language Resources and Evaluation Conference (LREC) | May 2020
  
  PDF DOI Publication Projet
- Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums
  
  Taisa Kushner, Amit Sharma
  
  ACM Web Conference (WWW) | April 2020
  
  Publication PDF Projet
- Facilitating Media Distribution With Monetary Incentives
  
  Devansh Mehta, Alok Sharma, Ramaravind K. Kommiya Mothilal, Chiraag, Anurag Shukla, Vishnu Prasad, Bill Thies, Venkanna U, Colin Scott, Amit Sharma
  
  2020 CHI Conference on Human Factors in Computing Systems | April 2020
  
  Publication
- “Like Shock Absorbers”: Understanding the Human Infrastructures of Technology-Mediated Mental Health Support
  
  Sachin Pendse, Faisal Lalani, Munmun De Choudhury, Amit Sharma, Neha Kumar
  
  ACM CHI Conference on Human Factors in Computing Systems | April 2020
  
  PDF Projet
- Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
  
  Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
  
  ACM Conference on Fairness, Accountability, and Transparency | January 2020
  
  PDF Github Projet Projet
- Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
  
  Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  CausalML: Machine Learning and Causal Inference for Improved Decision Making Workshop, NeurIPS 2019 | December 2019
  
  Publication Projet
- Cross-Cultural Differences in the Use of Online Mental Health Support Forums
  
  Sachin R. Pendse, Kate Niederhoffer, Amit Sharma
  
  ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | November 2019
  
  Projet
- Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns
  
  Saiganesh Swaminathan, Indrani Medhi Thies, Devansh Mehta, Ed Cutrell, Amit Sharma, Bill Thies (thies)
  
  ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | November 2019
  
  Best of CSCW honorable mention
  
  Publication Projet
- Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data
  
  Jackson Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
  
  ACM SIGKDD International Conference on Knowledge Discovery & Data Mining | August 2019
  
  PDF
- Optimizing peer referrals for public awareness using contextual bandits
  
  Ramaravind K. Mothilal, Amulya Yadav, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF Projet
- Mental health in the global south: Challenges and opportunities in HCI for development
  
  Sachin R. Pendse, Naveena Karusala, Divya Siddarth, Pattie Gonsalves, Seema Mehrotra, John A. Naslund, Mamta Sood, Neha Kumar, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF Projet
- Learnings from deploying a voice-based social platform for people with disability
  
  Karn Dubey, Palash Gupta, Rachna Shriwas, Gayatri Gulvady, Amit Sharma
  
  ACM SIGCAS Conference on Computing & Sustainable Societies (COMPASS) | July 2019
  
  Publication PDF
- Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums
  
  Yada Pruksachatkun, Sachin Pendse, Amit Sharma
  
  2019 CHI Conference on Human Factors in Computing Systems | May 2019
  
  PDF Projet
- Tutorial on Causal Inference and Counterfactual Reasoning
  
  Emre Kiciman, Amit Sharma
  
  ACM KDD International Conference on Knowledge Discovery and Data Mining | August 2018
  
  Publication Projet
- Harvesting Randomness to Optimize Distributed Systems
  
  Mathias Lecuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins
  
  16th ACM Workshop on Hot Topics in Networks (HotNets) | November 2017
  
  Publication
- Auditing Search Engines for Differential Satisfaction Across Demographics
  
  Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna Wallach, Emine Yilmaz
  
  Proceedings of the 26th International Conference on World Wide Web (Industry Track) | April 2017
  
  Publication PDF
- Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter
  
  Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, Duncan Watts
  
  Proceedings of the 25th International Conference on World Wide Web | April 2016
  
  Publication
- Estimating the Causal Impact of Recommendation Systems from Observational Data
  
  Amit Sharma, Jake Hofman, Duncan Watts
  
  Proceedings of the Sixteenth ACM Conference on Economics and Computation | June 2015
  
  ISBN: 978-1-4503-3410-5
  
  Publication 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 Projet
- Causal Inference Using LLM-Guided Discovery
  
  Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
  
  CoRR | October 2023
  
  DOI Publication
- Barriers to Professional Help-seeking for Distress and Potential Utility of a Mental Health App: Stakeholder Perspectives
  
  Jemimah Johnson, Janhavi Devdutt, Seema Mehrotra, Poornima Bhola, Paulomi Sudhir, Amit Sharma
  
  Cureus Journal of Medical Science | February 2020
  
  Publication Projet
- Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention
  
  John A. Naslund, Pattie P. Gonsalves, Oliver Gruebner, Sachin R. Pendse, Stephanie L. Smith, Amit Sharma, Giuseppe Raviola
  
  Current Treatment Options in Psychiatry | September 2019
  
  Publication Projet
- Predicting History
  
  Joseph Risi, Amit Sharma, Rohan Shah, Matthew Connelly, Duncan J. Watts
  
  Nature Human Behavior | April 2019
  
  Publication
- Split-door criterion: Identification of causal effects through auxiliary outcomes
  
  Amit Sharma, Jake Hofman, Duncan Watts
  
  Annals of Applied Statistics | December 2018, Vol 12(4): pp. 2699-2733
  
  Publication
- Prediction and explanation in social systems
  
  Jake Hofman, Amit Sharma, Duncan Watts
  
  Science | February 2017, Vol 355: pp. 486-488
  
  Publication Publication Publication
- 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
  
  Publié par Microsoft
  
  Publication Projet Projet
- DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
  
  Amit Sharma, Cheng Zhang, Vasilis Syrgkanis, Emre Kiciman
  
  MSR-TR-2021-15 | July 2021
  
  Publié par ICML 2021 workshop on the Neglected Assumptions in Causal Inference
  
  Publication Projet Projet
- MINDNOTES: A Mobile Platform to enable users to break stigma around mental health and connect with therapists
  
  Prateek Chanda, Amogh Wagh, Jemimah A Johnson, Swaraj Renghe, Vageesh D C, George Mathews, Sapna Behar, Poornima Bhola, Girish Rao, Paulomi Sudhir, T K Srikanth, Amit Sharma, Seema Mehrotra
  
  October 2021
- DoWhy: An End-to-End Library for Causal Inference
  
  Amit Sharma, Emre Kiciman
  
  November 2020
  
  Causal Data Science Meeting (https://causalscience.org/)
  
  Publication Vidéo Github Projet
- Necessary and Probably Sufficient Test for Finding Valid Instrumental Variables
  
  Amit Sharma
  
  December 2018
  
  Publication Projet
- Inframarginality Audit of Group-Fairness
  
  Amit Sharma, Arpita Biswas, Siddharth Barman
  
  June 2020
  
  Publication Projet
- Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness
  
  Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, Bill Thies, Amit Sharma
  
  November 2019
  
  DOI