publications

An up-to-date list is available at Google Scholar.

Preprints

  1. Arxiv
    Plan*RAG: Planning-guided Retrieval Augmented Generation
    Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, and Amit Sharma
    arXiv preprint arXiv:2410.20753, 2024
    arXiv
  2. Arxiv
    Teaching Transformers Causal Reasoning through Axiomatic Training
    Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N Balasubramanian, and Amit Sharma
    arXiv preprint arXiv:2407.07612, 2024
    arXiv
  3. Arxiv
    Task Facet Learning: A Structured Approach to Prompt Optimization
    Gurusha Juneja, Nagarajan Natarajan, Hua Li, Jian Jiao, and Amit Sharma
    arXiv preprint arXiv:2406.10504, 2024
    arXiv

Publications

  1. ICLR 2025
    Robust Root Cause Diagnosis using In-Distribution Interventions
    Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, and Amit Sharma
    In The Thirteenth International Conference on Learning Representations, 2025
  2. ICLR 2025
    Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
    Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N Balasubramanian, and Amit Sharma
    In The Thirteenth International Conference on Learning Representations (ICLR), 2025
  3. KDD 2024
    On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification
    Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, and Manik Varma
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
  4. ACL 2024
    NICE: To optimize in-context examples or not?
    Pragya Srivastava, Satvik Golechha, Amit Deshpande, and Amit Sharma
    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
  5. KDD 2024
    Optimizing novelty of top-k recommendations using large language models and reinforcement learning
    Amit Sharma, Hua Li, Xue Li, and Jian Jiao
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2024
  6. TMLR 2024
    Causal reasoning and large language models: Opening a new frontier for causality
    Emre Kıcıman, Robert Ness, Amit Sharma, and Chenhao Tan
    Transactions on Machine Learning Research, Aug 2024
    Featured Certification
  7. ICLR 2024
    Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
    Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, and Roi Reichart
    In The Twelfth International Conference on Learning Representations (ICLR), Aug 2024
  8. ICLR 2023
    Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
    Jivat Neet Kaur, Emre Kiciman, and Amit Sharma
    In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, Aug 2023
    Awarded
  9. TMLR 2023
    Machine Explanations and Human Understanding
    Chacha Chen, Shi Feng, Amit Sharma, and Chenhao Tan
    Transactions on Machine Learning Research, Aug 2023
  10. ACL 2023
    Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers
    Parikshit Bansal, and Amit Sharma
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL, Volume 1: Long Papers), Jul 2023
  11. NeurIPS 2023
    Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes
    A Kumar, A Deshpande, and A Sharma
    Adv. Neural Inf. Process. Syst. (NeurIPS), Jul 2023
  12. UAI 2023
    Combinatorial categorized bandits with expert rankings
    Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, and Amit Sharma
    In Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Jul 2023
  13. ICML 2022
    Matching Learned Causal Effects of Neural Networks with Domain Priors
    Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramanian, and Amit Sharma
    In Proceedings of the 39th International Conference on Machine Learning, Jul 2022
  14. Information Sys. Res.
    Second screening—the influence of concurrent tv consumption on online shopping behavior
    O Hinz, S Hill, and A Sharma
    Information Systems Research, Jul 2022
  15. Nature Commun.
    Technology readiness levels for machine learning systems
    Alexander Lavin, Ciarán M Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atílím Güneş Baydin, Amit Sharma, Adam Gibson, Stephan Zheng, Eric P Xing, Chris Mattmann, James Parr, and Yarin Gal
    Nature Communications, Oct 2022
  16. NeurIPS 2022
    Probing classifiers are unreliable for concept removal and detection
    A Kumar, C Tan, and A Sharma
    Adv. Neural Inf. Process. Syst. (NeurIPS), Oct 2022
  17. WSDM 2021
    Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
    Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, and Emre Kıcıman
    In Proceedings of the 14th ACM International Conference on Web Search and Data Mining, Mar 2021
  18. CHI 2021
    “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, and Neha Kumar
    In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, May 2021
    Best Paper
  19. AAAI 2021
    The importance of modeling data missingness in algorithmic fairness: A causal perspective
    N Goel, A Amayuelas, A Deshpande, and  others
    Proceedings of the AAAI Conference on Artificial Intelligence, May 2021
  20. ICML 2021
    Domain Generalization using Causal Matching
    Divyat Mahajan, Shruti Tople, and Amit Sharma
    In Proceedings of the 38th International Conference on Machine Learning (ICML), May 2021
  21. AIES 2021
    Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
    Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, and Amit Sharma
    In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, Jul 2021
  22. SoCC 2021
    Sayer: Using Implicit Feedback to Optimize System Policies
    Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Aleksandrs Slivkins, and Amit Sharma
    In Proceedings of the ACM Symposium on Cloud Computing, Nov 2021
  23. FAccT 2020
    Explaining machine learning classifiers through diverse counterfactual explanations
    Ramaravind K Mothilal, Amit Sharma, and Chenhao Tan
    Proceedings of the 2020 ACM conference on Fairness, Accountability and Transparency (FAccT), Nov 2020
  24. COMPASS 2019
    Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field
    Devansh Mehta, Ramaravind Kommiya Mothilal, Alok Sharma, William Thies, and Amit Sharma
    In Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, Jul 2020
  25. WWW 2020
    Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums
    Taisa Kushner, and Amit Sharma
    In Proceedings of The Web Conference 2020, Apr 2020
  26. ICWSM 2020
    Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities
    Koustuv Saha, and Amit Sharma
    Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), May 2020
  27. ICWSM 2020
    Engagement patterns of peer-to-peer interactions on mental health platforms
    A Sharma, M Choudhury, T Althoff, and  others
    Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), May 2020
  28. CHI 2020
    “Like shock absorbers”: Understanding the human infrastructures of technology-mediated mental health support
    Sachin R Pendse, Faisal M Lalani, Munmun De Choudhury, Amit Sharma, and Neha Kumar
    In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Apr 2020
  29. ICML 2020
    Alleviating Privacy Attacks via Causal Learning
    Shruti Tople, Amit Sharma, and Aditya Nori
    In Proceedings of the 37th International Conference on Machine Learning, Apr 2020
  30. WACV 2020
    Evaluating and mitigating bias in image classifiers: A causal perspective using counterfactuals
    Saloni Dash, V Balasubramanian, and Amit Sharma
    Proc. IEEE Workshop Appl. Comput. Vis., Sep 2020
  31. COMPASS 2019
    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, and Amit Sharma
    In Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies, Jul 2019
  32. COMPASS 2019
    Optimizing peer referrals for public awareness using contextual bandits
    Ramaravind Kommiya Mothilal, Amulya Yadav, and Amit Sharma
    In Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies, Jul 2019
  33. COMPASS 2019
    Learnings from deploying a voice-based social platform for people with disability
    Karn Dubey, Palash Gupta, Rachna Shriwas, Gayatri Gulvady, and Amit Sharma
    In Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies, Jul 2019
  34. KDD 2019
    Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data
    Jackson A Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, and Milind Tambe
    In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Jul 2019
  35. Nature Human Behav.
    Predicting history
    Joseph Risi, Amit Sharma, Rohan Shah, Matthew Connelly, and Duncan J Watts
    Nature Human Behaviour, Jun 2019
  36. 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, and Giuseppe Raviola
    Curr Treat Options Psychiatry, Dec 2019
  37. CSCW 2019
    Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns
    Saiganesh Swaminathan, Indrani Medhi Thies, Devansh Mehta, Edward Cutrell, Amit Sharma, and William Thies
    Proc. ACM Hum.-Comput. Interact., Nov 2019
    Best Paper Honorable Mention
  38. CSCW 2019
    Cross-Cultural Differences in the Use of Online Mental Health Support Forums
    Sachin R Pendse, Kate Niederhoffer, and Amit Sharma
    Proc. ACM Hum.-Comput. Interact., Nov 2019
  39. CHI 2019
    Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums
    Yada Pruksachatkun, Sachin R Pendse, and Amit Sharma
    In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, May 2019
  40. Annals Applied Stats.
    Split-door criterion: Identification of causal effects through auxiliary outcomes
    Amit Sharma, Jake M Hofman, and Duncan J Watts
    The Annals of Applied Statistics, Dec 2018
  41. Science
    Prediction and explanation in social systems
    Jake M Hofman, Amit Sharma, and Duncan J Watts
    In Science, Dec 2017
  42. Harvesting Randomness to Optimize Distributed Systems
    Mathias Lecuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, and Aleksandrs Slivkins
    In Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Nov 2017
  43. Distinguishing between personal preferences and social influence in online activity feeds
    Amit Sharma, and Dan Cosley
    In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, Feb 2016
  44. Predictability of popularity: Gaps between prediction and understanding
    Benjamin Shulman, Amit Sharma, and Dan Cosley
    In Proceedings of the International AAAI Conference on Web and Social Media, Feb 2016
  45. WWW 2016
    Exploring limits to prediction in complex social systems: Predicting cascade size on twitter
    Travis Martin, Jake Hofman, Amit Sharma, Ashton Anderson, and Duncan Watts
    In Proceedings of the 25th International Conference on World Wide Web, Apr 2016
  46. WWW 2016
    Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior
    Samuel Barbosa, Dan Cosley, Amit Sharma, and Roberto M Cesar
    In Proceedings of the 25th International Conference on World Wide Web, Apr 2016
  47. Studying and Modeling the Connection between People’s Preferences and Content Sharing
    Amit Sharma, and Dan Cosley
    In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, Feb 2015
  48. Estimating the Causal Impact of Recommendation Systems from Observational Data
    Amit Sharma, Jake M Hofman, and Duncan J Watts
    In Proceedings of the Sixteenth ACM Conference on Economics and Computation, Jun 2015
  49. Friends, Strangers, and the Value of Ego Networks for Recommendation
    Amit Sharma, Mevlana Gemici, and Dan Cosley
    In Proceedings of the 7th International Conference on Web and Social Media, Jun 2013
  50. Pairwise learning in recommendation: experiments with community recommendation on linkedin
    Amit Sharma, and Baoshi Yan
    In Proceedings of the 7th ACM conference on Recommender systems, Oct 2013
  51. WWW 2013
    Do social explanations work? studying and modeling the effects of social explanations in recommender systems
    Amit Sharma, and Dan Cosley
    In Proceedings of the 22nd international conference on World Wide Web, May 2013
  52. Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures
    P Ghosh, A Sharma, P P Chakrabarti, and P Dasgupta
    Journal of Artificial Intelligence Research, Jun 2012
  53. ReComp: QoS-aware recursive service composition at minimum cost
    Vimmi Jaiswal, Amit Sharma, and Akshat Verma
    In 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, May 2011
  54. Workload management for power efficiency in virtualized data centers
    Gargi Dasgupta, Amit Sharma, Akshat Verma, Anindya Neogi, and Ravi Kothari
    Commun. ACM, Jul 2011
  55. Network-Centric Recommendation: Personalization with and in Social Networks
    Amit Sharma, and Dan Cosley
    In 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, Oct 2011