| 2026 | ACL | HORIZON: A Benchmark for In-the-wild User Behaviour Modeling. | Arnav Goel, Pranjal A. Chitale, Bhawna Paliwal, Bishal Santra, Amit Sharma |
| 2026 | ISIT | Some Results on Fq-Double Constacyclic LCD Codes. | Aditi, Amit Sharma |
| 2025 | ACL | Task Facet Learning: A Structured Approach To Prompt Optimization. | Gurusha Juneja, Gautam Jajoo, Hua Li, Jian Jiao, Nagarajan Natarajan, Amit Sharma |
| 2025 | EMNLP | Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval. | Pranjal A. Chitale, Bishal Santra, Yashoteja Prabhu, Amit Sharma |
| 2025 | HiPC | FLandroid: Towards Federated Learning for Android Edge Devices. | Amit Sharma, Chinmay Mhatre, Punit Rathore, Nitin Auluck, Yogesh Simmhan |
| 2025 | ICDM | A Comparative Study of Classical and Quantum Support Vector Machines for Multimodal Oral Cancer Detection. | Nipun Joshi, Sanchit Baweja, Sandeep Kumar, Vikrant Shokeen, Amit Sharma, Vijeet Gahlawat |
| 2025 | ICLR | Robust Root Cause Diagnosis using In-Distribution Interventions. | Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma |
| 2025 | ICLR | 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 | ICML | Teaching Transformers Causal Reasoning through Axiomatic Training. | Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma |
| 2025 | ICML | RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation. | Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno, Fabian Falck, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier Gonzlez |
| 2025 | KDD | 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, Manik Varma |
| 2024 | ACL | NICE: To Optimize In-Context Examples or Not? | Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit Sharma |
| 2024 | HiPC | Dynamic Real-Time Scheduling on Distributed Hierarchical Fog Networks. | Amit Sharma, Nitin Auluck |
| 2024 | ICLR | Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals. | Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart |
| 2024 | KDD | Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning. | Amit Sharma, Hua Li, Xue Li, Jian Jiao |
| 2024 | MIS4TEL | Turning the Gaze Inwards: Exploring Simulator Instructors' Professional Vision Through Eye-Tracking and Stimulated Recall Interviews. | Amit Sharma, Susan Harrington, Charlott Sellberg, Jonas Ihlstrm, Gesa Praetorius |
| 2023 | ACL | Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers. | Parikshit Bansal, Amit Sharma |
| 2023 | ICLR | Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. | Jivat Neet Kaur, Emre Kiciman, Amit Sharma |
| 2023 | UAI | Combinatorial categorized bandits with expert rankings. | Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma |
| 2022 | ICML | Matching Learned Causal Effects of Neural Networks with Domain Priors. | Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma |
| 2022 | WACV | Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals. | Saloni Dash, Vineeth N. Balasubramanian, Amit Sharma |
| 2021 | AAAI | The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. | Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma |
| 2021 | AIES | Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. | Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma |
| 2021 | CHI | "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 |
| 2021 | CLOUD | Sayer: Using Implicit Feedback to Optimize System Policies. | Mathias Lcuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Aleksandrs Slivkins, Amit Sharma |
| 2021 | CSCW | 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 Chandramouli, George Mathews, Sapna Behar, Poornima Bhola, Girish N. Rao, Paulomi Sudhir, T. K. Srikanth, Amit Sharma, Seema Mehrotra |
| 2021 | ICML | Domain Generalization using Causal Matching. | Divyat Mahajan, Shruti Tople, Amit Sharma |
| 2021 | WSDM | Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. | Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman |
| 2020 | CHI | Facilitating Media Distribution with Monetary Incentives. | Devansh Mehta, Alok Sharma, Ramaravind Kommiya Mothilal, Chiraag, Anurag Shukla, Vishnu Prasad, William Thies, Venkanna U, Colin Scott, Amit Sharma |
| 2020 | CHI | "Like Shock Absorbers": Understanding the Human Infrastructures of Technology-Mediated Mental Health Support. | Sachin R. Pendse, Faisal M. Lalani, Munmun De Choudhury, Amit Sharma, Neha Kumar |
| 2020 | COMAD | Causal Inference and Counterfactual Reasoning. | Amit Sharma, Emre Kiciman |
| 2020 | ICML | Alleviating Privacy Attacks via Causal Learning. | Shruti Tople, Amit Sharma, Aditya Nori |
| 2020 | ICWSM | Causal Factors of Effective Psychosocial Outcomes in Online Mental Health Communities. | Koustuv Saha, Amit Sharma |
| 2020 | ICWSM | Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. | Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma |
| 2020 | LREC | 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 |
| 2020 | QRS | Best Seller Rank (BSR) to Sales: An empirical look at Amazon.com. | Amit Sharma, Hongrui Liu, Hongwei Liu |
| 2020 | WWW | Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums. | Taisa Kushner, Amit Sharma |
| 2019 | CHI | Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health Forums. | Yada Pruksachatkun, Sachin R. Pendse, Amit Sharma |
| 2019 | CSCW | Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness. | Ramaravind Kommiya Mothilal, Devansh Mehta, Alok Sharma, William Thies, Amit Sharma |
| 2019 | KDD | Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. | Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe |
| 2019 | SENSYS | SmrtFridge: IoT-based, | Amit Sharma, Archan Misra, Vengateswaran Subramaniam, Youngki Lee |
| 2019 | WSDM | Causal Inference and Counterfactual Reasoning (3hr Tutorial). | Emre Kiciman, Amit Sharma |
| 2017 | HOTNETS | Harvesting Randomness to Optimize Distributed Systems. | Mathias Lcuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins |
| 2017 | RecSys | FATREC Workshop on Responsible Recommendation. | Michael D. Ekstrand, Amit Sharma |
| 2017 | WWW | Auditing Search Engines for Differential Satisfaction Across Demographics. | Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz |
| 2016 | CSCW | Distinguishing between Personal Preferences and Social Influence in Online Activity Feeds. | Amit Sharma, Dan Cosley |
| 2016 | ICWSM | Predictability of Popularity: Gaps between Prediction and Understanding. | Benjamin Shulman, Amit Sharma, Dan Cosley |
| 2016 | Mobisys | Demo: Sound Localization using Smartphone. | Amit Sharma, Youngki Lee |
| 2016 | WWW | Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior. | Samuel Barbosa, Dan Cosley, Amit Sharma, Roberto M. Cesar Jr. |
| 2016 | WWW | Exploring Limits to Prediction in Complex Social Systems. | Travis Martin, Jake M. Hofman, Amit Sharma, Ashton Anderson, Duncan J. Watts |
| 2015 | CSCW | Studying and Modeling the Connection between People's Preferences and Content Sharing. | Amit Sharma, Dan Cosley |
| 2014 | RecSys | Modeling the effect of people's preferences and social forces on adopting and sharing items. | Amit Sharma |
| 2013 | CSCW | PopCore: a system for network-centric recommendation. | Amit Sharma |
| 2013 | IJCAI | Algorithms for Generating Ordered Solutions for Explicit AND/OR Structures : Extended Abstract. | Priyankar Ghosh, Amit Sharma, Partha Pratim Chakrabarti, Pallab Dasgupta |
| 2013 | ICWSM | Friends, Strangers, and the Value of Ego Networks for Recommendation. | Amit Sharma, Mevlana Gemici, Dan Cosley |
| 2013 | RecSys | A Research Platform for Recommendation within Social Networks. | Amit Sharma |
| 2013 | RecSys | Pairwise learning in recommendation: experiments with community recommendation on linkedin. | Amit Sharma, Baoshi Yan |
| 2013 | WWW | Do social explanations work?: studying and modeling the effects of social explanations in recommender systems. | Amit Sharma, Dan Cosley |
| 2011 | IM | ReComp: QoS-aware recursive service composition at minimum cost. | Vimmi Jaiswal, Amit Sharma, Akshat Verma |
| 2005 | CCGRID | Scalable enterprise level workflow and infrastructure management in a grid computing environment. | Keyur Gor, Dheepak Ra, Shakeb Ali, Lech D. Alves, Neel Arurkar, Ira Gupta, Anirban Chakrabarti, Amit Sharma, Shubhashis Sengupta |
| 2003 | WISE | Managing QoS through prioritization in Web services. | Amit Sharma, Hemant Adarkar, Shubhashis Sengupta |
| 2001 | SCAM | Application Maintenance Using Software Agents. | Amit Sharma, Miriam A. M. Capretz |
| 2000 | SMC | Crowd-behavior prediction using subjective factor based multi-agent system. | Amit Sharma |