Gen Li
Affiliations:- Chinese University of Hong Kong, Department of Statistics, Hong Kong
- University of Pennsylvania, Wharton School, Department of Statistics and Data Science, Philadelphia, PA, USA (former)
- Tsinghua University, Department of Electronic Engineering / TNList, Beijing, China (former)
According to our database1,
Gen Li
authored at least 60 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation.
IEEE Trans. Inf. Theory, August, 2024
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model.
Oper. Res., 2024
CoRR, 2024
A non-asymptotic distributional theory of approximate message passing for sparse and robust regression.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
2023
IEEE Trans. Inf. Theory, November, 2023
IEEE Trans. Inf. Theory, September, 2023
IEEE Trans. Signal Process., 2023
Math. Program., 2023
CoRR, 2023
Sharp high-probability sample complexities for policy evaluation with linear function approximation.
CoRR, 2023
Approximate message passing from random initialization with applications to ℤ<sub>2</sub> synchronization.
CoRR, 2023
CoRR, 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction.
IEEE Trans. Inf. Theory, 2022
IEEE Signal Process. Lett., 2022
CoRR, 2022
CoRR, 2022
Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity.
Proceedings of the International Conference on Machine Learning, 2022
2021
Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps.
CoRR, 2021
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Conference on Learning Theory, 2021
2020
IEEE Trans. Signal Process., 2020
IEEE Trans. Signal Process., 2020
CoRR, 2020
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁<sub>2, ∞</sub> Statistical Guarantees.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces.
IEEE Trans. Signal Process., 2018
IEEE Signal Process. Lett., 2018
IEEE Signal Process. Lett., 2018
IEEE J. Sel. Top. Signal Process., 2018
Outage Probability Conjecture Does Not Hold for Two-Input-Multiple-Output (TIM 0) System.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Convergence Analysis on a Fast Iterative Phase Retrieval Algorithm Without Independence Assumption.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Restricted Isometry Property for Low-Dimensional Subspaces and its Application in Compressed Subspace Clustering.
Proceedings of the 2018 IEEE Data Science Workshop, 2018
Proceedings of the 2018 IEEE Data Science Workshop, 2018
2017
CoRR, 2017
Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation.
CoRR, 2017
Spectral initialization for nonconvex estimation: High-dimensional limit and phase transitions.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
2015
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015