Online learning under delayed feedback P Joulani, A Gyorgy, C Szepesvári International conference on machine learning, 1453-1461, 2013 | 297 | 2013 |
Delay-tolerant online convex optimization: Unified analysis and adaptive-gradient algorithms P Joulani, A Gyorgy, C Szepesvári Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 58 | 2016 |
A modular analysis of adaptive (non-) convex optimization: Optimism, composite objectives, and variational bounds P Joulani, A György, C Szepesvári International Conference on Algorithmic Learning Theory, 681-720, 2017 | 36 | 2017 |
A simpler approach to accelerated optimization: iterative averaging meets optimism P Joulani, A Raj, A Gyorgy, C Szepesvári International conference on machine learning, 4984-4993, 2020 | 28 | 2020 |
Adapting to delays and data in adversarial multi-armed bandits A Gyorgy, P Joulani International Conference on Machine Learning, 3988-3997, 2021 | 27 | 2021 |
A modular analysis of adaptive (non-) convex optimization: Optimism, composite objectives, variance reduction, and variational bounds P Joulani, A György, C Szepesvári Theoretical Computer Science 808, 108-138, 2020 | 18 | 2020 |
Provably efficient adaptive approximate policy iteration B Hao, N Lazic, Y Abbasi-Yadkori, P Joulani, C Szepesvari arXiv preprint arXiv:2002.03069, 2020 | 17 | 2020 |
Fast cross-validation for incremental learning P Joulani, A György, C Szepesvári arXiv preprint arXiv:1507.00066, 2015 | 15 | 2015 |
Adaptive approximate policy iteration B Hao, N Lazic, Y Abbasi-Yadkori, P Joulani, C Szepesvári International Conference on Artificial Intelligence and Statistics, 523-531, 2021 | 11 | 2021 |
A., AND SZEPESV ARI, C P Joulani, GY ORGY Online learning under delayed feedback. In ICML, 2013 | 8 | 2013 |
Think out of the" box": Generically-constrained asynchronous composite optimization and hedging P Joulani, A György, C Szepesvári Advances in Neural Information Processing Systems 32, 2019 | 6 | 2019 |
Multi-armed bandit problems under delayed feedback P Joulani | 5 | 2012 |
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning A Raj, P Joulani, A Gyorgy, C Szepesvári International Conference on Artificial Intelligence and Statistics, 7176-7186, 2022 | 1 | 2022 |
A unified modular analysis of online and stochastic optimization: Adaptivity, optimism, non-convexity P Joulani, A Gyorgy, C Szepesvari OPT 2016 (NIPS Workshop on Optimization), 2016 | 1 | 2016 |
Online optimization for machine learning: parallelism, adaptivity, and model selection P Joulani | | 2019 |
Classification with Margin Constraints: A Unification with Applications to Optimization P Joulani, A György, C Szepesvári | | |