Publications

Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma (2020). The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. AAAI Conference on Artificial Intelligence (AAAI).

Ramaravind K Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma (2020). Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. arXiv preprint arXiv:2011.04917.

Amit Sharma, Emre Kiciman (2020). DoWhy: An End-to-End Library for Causal Inference. arXiv preprint arXiv:2011.04216.

Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman (2020). Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. arXiv preprint arXiv:2011.05877.

Saloni Dash, Amit Sharma (2020). Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference. arXiv preprint arXiv:2009.08270.

Shruti Tople, Amit Sharma, Aditya Nori (2020). Alleviating Privacy Attacks via Causal Learning. International Conference on Machine Learning (ICML).

Divyat Mahajan, Shruti Tople, Amit Sharma (2020). Domain generalization using causal matching. arXiv preprint arXiv:2006.07500.

Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma (2020). Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. Proceedings of the International AAAI Conference on Web and Social Media.

Koustuv Saha, Amit Sharma (2020). Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities. Proceedings of the International AAAI Conference on Web and Social Media.

Sachin R Pendse, Faisal M Lalani, Munmun De Choudhury, Amit Sharma, Neha Kumar (2020). " Like Shock Absorbers": Understanding the Human Infrastructures of Technology-Mediated Mental Health Support. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems.

Taisa Kushner, Amit Sharma (2020). Bursts of activity: Temporal patterns of help-seeking and support in online mental health forums. Proceedings of The Web Conference 2020.

Ramaravind Kothiya Mothilal, Amit Sharma, Chenhao Tan (2020). Explaining Machine Learning Classifiers through Diverse Counterfactual Examples. ACM Conference on Fairness, Accountability, and Transparency.

Devansh Mehta, Ramaravind Kommiya Mothilal, Alok Sharma, William Thies, Amit Sharma (2020). Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the Field. Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies.

Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Amit Sharma, Kalika Bali, others (2020). Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi. arXiv preprint arXiv:2004.10270.

Jemimah A Johnson, Janhavi Devdutt, Seema Mehrotra, Poornima Bhola, Paulomi Sudhir, Amit Sharma (2020). Barriers to Professional Help-seeking for Distress and Potential Utility of a Mental Health App Components: Stakeholder Perspectives. Cureus.

Sachin Pendse, Kate Niederhoffer, Amit Sharma (2019). Cross-Cultural Differences in the Use of Online Mental Health Support Forums. Proceedings of the ACM on Human-Computer Interaction 3 (CSCW).

Saiganesh Swaminathan, Indrani Medhi Thies, Devansh Mehta, Edward Cutrell, Amit Sharma, William Thies (2019). Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns. Proceedings of the ACM on Human-Computer Interaction (Best Paper Honorable Mention).

Ramaravind K. Mothilal, Amulya Yadav, Amit Sharma (2019). Optimizing Peer Referrals for Public Awareness using Contextual Bandits. ACM Conference on Computing and Sustainable Societies (COMPASS).

Sachin R. Pendse, Naveena Karusula, Divya Siddarth, Pattie Gonsalves, Seema Mehrotra, John A. Naslund, Mamta Sood, Neha Kumar, Amit Sharma (2019). Mental Health in the Global South: Challenges and Opportunities in HCI for Development. ACM Conference on Computing and Sustainable Societies (COMPASS).

Karn Dubey, Palash Gupta, Rachna Shriwas, Gayatri Gulvady, Amit Sharma (2019). Learnings from deploying a voice-based social platform for people with disability. ACM Conference on Computing and Sustainable Societies (COMPASS).

Joseph Risi, Amit Sharma, Rohan Shah, Matthew Connelly, Duncan J. Watts (2019). Predicting History. Nature Human Behavior.

PDF DOI Press (Livemint.com) Press (Cosmos Magazine)

Divya Siddarth, Sachin R. Pendse, Amit Sharma, Joyojeet Pal (2019). Giving in the Short Term: Putting Research in Action Alongside Marginalized Groups. Sensitive HCI Workshop, ACM CHI Conference on Human Factors in Computing Systems.

Arpita Biswas, Siddharth Barman, Amit Deshpande, Amit Sharma (2019). Quantifying Infra-Marginality and Its Trade-off with Group Fairness. arXiv preprint arXiv:1909.00982.

Rathin Desai, Amit Sharma (2019). Quantifying Error in the Presence of Confounders for Causal Inference. arXiv preprint arXiv:1907.04805.

Divyat Mahajan, Chenhao Tan, Amit Sharma (2019). Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers. CausalML Workshop at NeurIPS 2019.

Yada Pruksachatkun, Sachin R. Pendse, Amit Sharma (2019). Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.

Jackson A Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe (2019). Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. arXiv preprint arXiv:1902.01506.

John A Naslund, Pattie P Gonsalves, Oliver Gruebner, Sachin R Pendse, Stephanie L Smith, Amit Sharma, Giuseppe Raviola (2019). Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention. Current Treatment Options in Psychiatry.

Emre Kiciman, Amit Sharma (2019). Causal Inference and Counterfactual Reasoning (3hr Tutorial). Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining.

Oliver Hinz, Shawndra Hill, Amit Sharma (2018). The Influence of Context on Online Shopping Behavior: The Case of Concurrent TV Consumption. SSRN.

Amit Sharma, Jake M Hofman, Duncan J Watts (2018). Split-door criterion: Identification of causal effects through auxiliary outcomes. The Annals of Applied Statistics.

Amit Sharma (2018). Necessary and probably sufficient test for finding valid instrumental variables. arXiv preprint arXiv:1812.01412.

Jake M. Hofman, Amit Sharma, Duncan J. Watts (2017). Prediction and explanation in social systems . Science.

Mathias Lecuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins (2017). Harvesting Randomness to Optimize Distributed Systems. Proceedings of the 16th ACM Workshop on Hot Topics in Networks.

Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna Wallach, Emine Yilmaz (2017). Auditing Search Engines for Differential Satisfaction Across Demographics. Proceedings of the 26th International Conference on World Wide Web (Industry Track).

Benjamin Shulman, Amit Sharma, Dan Cosley (2016). Predictability of popularity: Gaps between prediction and understanding . Proceedings of the 10th International Conference on Web and Social Media.

Travis Martin, Jake M. Hofman, Amit Sharma AND Ashton Anderson, Duncan J. Watts (2016). Exploring limits to prediction in complex social systems: Predicting cascade size on Twitter . Proceedings of the 25th International Conference on World Wide Web.

Amit Sharma, Dan Cosley (2016). Distinguishing Between Personal Preferences and Social Influence in Online Activity Feeds (Honorable Mention for Best Paper award) . Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing.

Samuel Barbosa, Dan Cosley, Amit Sharma, Roberto M. Cesar-Jr (2016). Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior . Proceedings of the 25th International Conference on World Wide Web.

Amit Sharma, Jake M. Hofman, Duncan J. Watts (2015). Estimating the Causal Impact of Recommendation Systems from Observational Data . Proceedings of the 16th ACM Conference on Economics and Computation.

Amit Sharma, Dan Cosley (2015). Studying and Modeling the Connection Between People's Preferences and Content Sharing . Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing.

Amit Sharma (2014). Personalization in Social Networks: Modeling the Underlying Social Processes . Proc. Data Design for Personalization Workshop, WSDM.

Amit Sharma (2013). PopCore: A System for Network-centric Recommendations . Proc. CSCW.

Amit Sharma, Baoshi Yan (2013). Pairwise Learning in Recommendation: Experiments with Community Recommendation on LinkedIn . Proceedings of the 7th ACM Conference on Recommender Systems.

Amit Sharma, Mevlana Gemici, Dan Cosley (2013). Friends, Strangers, and the Value of Ego Networks for Recommendation . Proceedings of the 7th International Conference on Web and Social Media.

Amit Sharma, Dan Cosley (2013). Do Social Explanations Work? Studying and Modeling the Effects of Social Explanations in Recommender Systems . Proceedings of the 22nd International Conference on World Wide Web.

Amit Sharma (2013). A Research Platform for Recommendation within Social Networks . Proc. Recommender Systems and the Social Web Workshop, RecSys.

Priyankar Ghosh, Amit Sharma, P. P. Chakrabarti, Pallab Dasgupta (2012). Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures . Journal of Artificial Intelligence Research (JAIR) and Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI).

Gargi Dasgupta, Amit Sharma, Akshat Verma, Anindya Neogi, Ravi Kothari (2011). Workload Management for Power Efficiency in Virtualized Data Centers . Communications of the ACM.

Vimmi Jaiswal, Amit Sharma, Akshat Verma (2011). ReComp: QoS-aware recursive service composition at minimum cost . Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management.

Amit Sharma, Meethu Malu, Dan Cosley (2011). PopCore: A System for Network-Centric Recommendations . Proceedings of the Recommender Systems and Social Web Workshop, co-located with the 5th ACM Conference on Recommender Systems.

Amit Sharma, Dan Cosley (2011). Network-Centric Recommendation: Personalization with and in Social Networks . Proceedings of the 3rd IEEE International Conference on Social Computing.