| 2026 | COLT | Toward Simultaneously Optimal Regret in U-Calibration. | Rafael M. Frongillo, Haipeng Luo, Nishant A. Mehta, Jon Schneider |
| 2025 | COLT | Data-dependent Bounds with T-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching. | Quan M. Nguyen, Shinji Ito, Junpei Komiyama, Nishant A. Mehta |
| 2025 | ICML | Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity. | Quan M. Nguyen, Nishant A. Mehta, Cristbal Guzmn |
| 2024 | AISTATS | On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX. | Ali Mortazavi, Junhao Lin, Nishant A. Mehta |
| 2024 | AISTATS | Near-optimal Per-Action Regret Bounds for Sleeping Bandits. | Quan M. Nguyen, Nishant A. Mehta |
| 2024 | COLT | Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy. | Bingshan Hu, Nishant A. Mehta |
| 2023 | AISTATS | Thresholded linear bandits. | Nishant A. Mehta, Junpei Komiyama, Vamsi K. Potluru, Andrea Nguyen, Mica Grant-Hagen |
| 2023 | ALT | Adversarial Online Multi-Task Reinforcement Learning. | Quan Nguyen, Nishant A. Mehta |
| 2020 | AISTATS | Safe-Bayesian Generalized Linear Regression. | Rianne de Heide, Alisa Kirichenko, Peter Grunwald, Nishant A. Mehta |
| 2020 | AISTATS | A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option. | Pon Kumar Sharoff, Nishant A. Mehta, Ravi Ganti |
| 2019 | AISTATS | Multi-Observation Regression. | Rafael M. Frongillo, Nishant A. Mehta, Tom Morgan, Bo Waggoner |
| 2019 | ALT | A tight excess risk bound via a unified PAC-Bayesian-Rademacher-Shtarkov-MDL complexity. | Peter D. Grnwald, Nishant A. Mehta |
| 2019 | ICDCS | Intelligent Caching Algorithms in Heterogeneous Wireless Networks with Uncertainty. | Bingshan Hu, Yunjin Chen, Zhiming Huang, Nishant A. Mehta, Jianping Pan |
| 2019 | UAI | Problem-dependent Regret Bounds for Online Learning with Feedback Graphs. | Bingshan Hu, Nishant A. Mehta, Jianping Pan |
| 2018 | EMNLP | Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models. | Avery Hiebert, Cole Peterson, Alona Fyshe, Nishant A. Mehta |
| 2017 | AISTATS | Fast rates with high probability in exp-concave statistical learning. | Nishant A. Mehta |
| 2015 | COLT | Generalized Mixability via Entropic Duality. | Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta |
| 2009 | SDM | FuncICA for Time Series Pattern Discovery. | Nishant A. Mehta, Alexander G. Gray |