| 2024 | AISTATS | A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent. | Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar |
| 2023 | UAI | Posterior sampling-based online learning for the stochastic shortest path model. | Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo |
| 2022 | AISTATS | Online Learning for Unknown Partially Observable MDPs. | Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar |
| 2021 | AISTATS | Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. | Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain |
| 2020 | ICML | Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. | Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain |
| 2019 | ICMLA | PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning. | Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee |
| 2019 | UAI | Approximate Relative Value Learning for Average-reward Continuous State MDPs. | Hiteshi Sharma, Mehdi Jafarnia-Jahromi, Rahul Jain |