| 2025 | ALT | Data Dependent Regret Bounds for Online Portfolio Selection with Predicted Returns. | Sudeep Raja Putta, Shipra Agrawal |
| 2025 | COLT | Optimistic Q-learning for average reward and episodic reinforcement learning extended abstract. | Priyank Agrawal, Shipra Agrawal |
| 2022 | ALT | Scale-Free Adversarial Multi Armed Bandits. | Sudeep Raja Putta, Shipra Agrawal |
| 2020 | AAAI | Discretizing Continuous Action Space for On-Policy Optimization. | Yunhao Tang, Shipra Agrawal |
| 2020 | ICML | Reinforcement Learning for Integer Programming: Learning to Cut. | Yunhao Tang, Shipra Agrawal, Yuri Faenza |
| 2019 | EC | Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. | Shipra Agrawal, Randy Jia |
| 2018 | ICML | Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy. | Shipra Agrawal, Morteza Zadimoghaddam, Vahab S. Mirrokni |
| 2018 | ICML | Bandits with Delayed, Aggregated Anonymous Feedback. | Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvri, Steffen Grnewlder |
| 2018 | IJCAI | Exploration by Distributional Reinforcement Learning. | Yunhao Tang, Shipra Agrawal |
| 2017 | COLT | Thompson Sampling for the MNL-Bandit. | Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi |
| 2016 | COLT | An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives. | Shipra Agrawal, Nikhil R. Devanur, Lihong Li |
| 2015 | SODA | Fast Algorithms for Online Stochastic Convex Programming. | Shipra Agrawal, Nikhil R. Devanur |
| 2014 | AAAI | Spectral Thompson Sampling. | Toms Kock, Michal Valko, Rmi Munos, Shipra Agrawal |
| 2013 | AISTATS | Further Optimal Regret Bounds for Thompson Sampling. | Shipra Agrawal, Navin Goyal |
| 2013 | ICML | Thompson Sampling for Contextual Bandits with Linear Payoffs. | Shipra Agrawal, Navin Goyal |
| 2010 | SODA | Correlation Robust Stochastic Optimization. | Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye |
| 2007 | ICDE | Efficient Detection of Distributed Constraint Violations. | Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Rajeev Rastogi |
| 2007 | INFOCOM | Diagnosing Link-Level Anomalies Using Passive Probes. | Shipra Agrawal, K. V. M. Naidu, Rajeev Rastogi |
| 2006 | COMAD | Efficient Detection of Distributed Constraint Violations. | Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Rajeev Rastogi |
| 2005 | ICDE | A Framework for High-Accuracy Privacy-Preserving Mining. | Shipra Agrawal, Jayant R. Haritsa |
| 2004 | DASFAA | On Addressing Efficiency Concerns in Privacy-Preserving Mining. | Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa |