Patrick Rebeschini
Orcid: 0000-0001-7772-4160
According to our database1,
Patrick Rebeschini
authored at least 29 papers
between 2015 and 2024.
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Bibliography
2024
2023
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity.
CoRR, 2023
A Novel Framework for Policy Mirror Descent with General Parametrization and Linear Convergence.
CoRR, 2023
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Linear Convergence for Natural Policy Gradient with Log-linear Policy Parametrization.
CoRR, 2022
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition.
CoRR, 2022
2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning.
CoRR, 2021
Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
CoRR, 2021
Nearly Minimax-Optimal Rates for Noisy Sparse Phase Retrieval via Early-Stopped Mirror Descent.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent.
J. Mach. Learn. Res., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
2015
Proceedings of The 28th Conference on Learning Theory, 2015