| 2022 | AISTATS | Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning. | Anant Raj, Pooria Joulani, Andrs Gyrgy, Csaba Szepesvri |
| 2021 | AISTATS | Adaptive Approximate Policy Iteration. | Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvri |
| 2021 | ICML | Adapting to Delays and Data in Adversarial Multi-Armed Bandits. | Andrs Gyrgy, Pooria Joulani |
| 2020 | ICML | A simpler approach to accelerated optimization: iterative averaging meets optimism. | Pooria Joulani, Anant Raj, Andrs Gyrgy, Csaba Szepesvri |
| 2017 | ALT | A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds. | Pooria Joulani, Andrs Gyrgy, Csaba Szepesvri |
| 2016 | AAAI | Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms. | Pooria Joulani, Andrs Gyrgy, Csaba Szepesvri |
| 2015 | IJCAI | Fast Cross-Validation for Incremental Learning. | Pooria Joulani, Andrs Gyrgy, Csaba Szepesvri |
| 2013 | ICML | Online Learning under Delayed Feedback. | Pooria Joulani, Andrs Gyrgy, Csaba Szepesvri |