Gen Li - RankMe

102 papers A* 19A 1B 2Misc 3Journal 73Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sample Complexity of Average-Reward Q-Learning: From Single-agent to Federated Reinforcement Learning. CoRR Yuchen Jiao, Jiin Woo, Gen Li, Gauri Joshi, Yuejie Chi
2025	J	`jnl`	Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach. CoRR Yuchen Jiao, Na Li, Changxiao Cai, Gen Li
2025	J	`jnl`	Connections between reinforcement learning with feedback,test-time scaling, and diffusion guidance: An anthology. CoRR Yuchen Jiao, Yuxin Chen, Gen Li
2025	J	`jnl`	Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. SIAM J. Optim. Gen Li, Yanxi Chen, Yu Huang, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2025	J	`jnl`	Faster Diffusion Models via Higher-Order Approximation. CoRR Gen Li, Yuchen Zhou, Yuting Wei, Yuxin Chen
2025	A*	`conf`	Improved Convergence Rate for Diffusion Probabilistic Models. ICLR Gen Li, Yuchen Jiao
2025	J	`jnl`	Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. IEEE Trans. Inf. Theory Gen Li, Changxiao Cai, H. Vincent Poor, Yuxin Chen
2025	A*	`conf`	O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions. ICLR Gen Li, Yuling Yan
2025	J	`jnl`	O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions. J. Mach. Learn. Res. Gen Li, Yuling Yan
2025	J	`jnl`	Optimal Convergence Analysis of DDPM for General Distributions. CoRR Yuchen Jiao, Yuchen Zhou, Gen Li
2025	A*	`conf`	Provable Efficiency of Guidance in Diffusion Models for General Data Distribution. ICML Gen Li, Yuchen Jiao
2025	J	`jnl`	Provable Efficiency of Guidance in Diffusion Models for General Data Distribution. CoRR Gen Li, Yuchen Jiao
2025	J	`jnl`	Towards Efficient Online Exploration for Reinforcement Learning with Human Feedback. CoRR Gen Li, Yuling Yan
2025	A	`conf`	Towards a mathematical theory for consistency training in diffusion models. AISTATS Gen Li, Zhihan Huang, Yuting Wei
2025	J	`jnl`	Transformers Meet In-Context Learning: A Universal Approximation Theory. CoRR Gen Li, Yuchen Jiao, Yu Huang, Yuting Wei, Yuxin Chen
2024	J	`jnl`	A Score-Based Density Formula, with Applications in Diffusion Generative Models. CoRR Gen Li, Yuling Yan
2024	J	`jnl`	A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	A non-asymptotic distributional theory of approximate message passing for sparse and robust regression. CoRR Gen Li, Yuting Wei
2024	A*	`conf`	Accelerating Convergence of Score-Based Diffusion Models, Provably. ICML Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	Accelerating Convergence of Score-Based Diffusion Models, Provably. CoRR Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	A*	`conf`	Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models. NeurIPS Gen Li, Yuling Yan
2024	J	`jnl`	Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models. CoRR Gen Li, Yuling Yan
2024	J	`jnl`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. Oper. Res. Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. IEEE Trans. Inf. Theory Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2024	J	`jnl`	Improved Convergence Rate for Diffusion Probabilistic Models. CoRR Gen Li, Yuchen Jiao
2024	J	`jnl`	Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. Oper. Res. Gen Li, Changxiao Cai, Yuxin Chen, Yuting Wei, Yuejie Chi
2024	J	`jnl`	Minimax-Optimal Multi-Agent Robust Reinforcement Learning. CoRR Yuchen Jiao, Gen Li
2024	A*	`conf`	Minimax-optimal reward-agnostic exploration in reinforcement learning. COLT Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan
2024	J	`jnl`	Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games. Oper. Res. Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2024	J	`jnl`	O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions. CoRR Gen Li, Yuling Yan
2024	A*	`conf`	Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models. ICLR Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2024	J	`jnl`	Towards a mathematical theory for consistency training in diffusion models. CoRR Gen Li, Zhihan Huang, Yuting Wei
2023	J	`jnl`	Approximate message passing from random initialization with applications to ℤ CoRR Gen Li, Wei Fan, Yuting Wei
2023	J	`jnl`	Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. CoRR Gen Li, Yanxi Chen, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2023	J	`jnl`	Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning. CoRR Gen Li, Yuling Yan, Yuxin Chen, Jianqing Fan
2023	J	`jnl`	Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization. CoRR Gen Li, Ganghua Wang, Jie Ding
2023	J	`jnl`	Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization. IEEE Trans. Inf. Theory Gen Li, Ganghua Wang, Jie Ding
2023	A*	`conf`	Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. NeurIPS Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
2023	J	`jnl`	Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning. CoRR Gen Li, Wenhao Zhan, Jason D. Lee, Yuejie Chi, Yuxin Chen
2023	J	`jnl`	Sharp high-probability sample complexities for policy evaluation with linear function approximation. CoRR Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2023	J	`jnl`	Softmax policy gradient methods can take exponential time to converge. Math. Program. Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2023	A*	`conf`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	The Efficacy of Pessimism in Asynchronous Q-Learning. IEEE Trans. Inf. Theory Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2023	J	`jnl`	Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models. CoRR Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2023	J	`jnl`	Towards Understanding Variation-Constrained Deep Neural Networks. IEEE Trans. Signal Process. Gen Li, Jie Ding
2022	J	`jnl`	$\ell _1$ Regularization in Two-Layer Neural Networks. IEEE Signal Process. Lett. Gen Li, Yuantao Gu, Jie Ding
2022	J	`jnl`	A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models. CoRR Gen Li, Yuting Wei
2022	A*	`conf`	Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model. NeurIPS Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
2022	J	`jnl`	Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model. CoRR Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
2022	J	`jnl`	Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games. CoRR Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2022	J	`jnl`	Multi-Agent Reinforcement Learning with Reward Delays. CoRR Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li
2022	J	`jnl`	Nonconvex Low-Rank Tensor Completion from Noisy Data. Oper. Res. Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen
2022	A*	`conf`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. ICML Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. IEEE Trans. Inf. Theory Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2022	J	`jnl`	Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei
2022	J	`jnl`	The Efficacy of Pessimism in Asynchronous Q-Learning. CoRR Yuling Yan, Gen Li, Yuxin Chen, Jianqing Fan
2021	A*	`conf`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. NeurIPS Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	J	`jnl`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	J	`jnl`	Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps. CoRR Gen Li, Changxiao Cai, Yuantao Gu, H. Vincent Poor, Yuxin Chen
2021	A*	`conf`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. NeurIPS Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	J	`jnl`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. CoRR Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	A*	`conf`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	The Rate of Convergence of Variation-Constrained Deep Neural Networks. CoRR Gen Li, Yuantao Gu, Jie Ding
2021	A*	`conf`	Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. ICML Gen Li, Yuantao Gu
2021	A*	`conf`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2020	A*	`conf`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. IEEE Trans. Signal Process. Gen Li, Xingyu Xu, Yuantao Gu
2020	A*	`conf`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	The Efficacy of L CoRR Gen Li, Yuantao Gu, Jie Ding
2020	J	`jnl`	Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces. IEEE Trans. Signal Process. Xingyu Xu, Gen Li, Yuantao Gu
2019	J	`jnl`	Compressed Subspace Learning Based on Canonical Angle Preserving Property. CoRR Yuchen Jiao, Gen Li, Yuantao Gu
2019	Misc	`conf`	Information Theoretic Lower Bound of Restricted Isometry Property Constant. ICASSP Gen Li, Jingkai Yan, Yuantao Gu
2019	J	`jnl`	Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property. CoRR Xingyu Xu, Gen Li, Yuantao Gu
2019	J	`jnl`	Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics. CoRR Gen Li, Xingyu Xu, Yuantao Gu
2019	J	`jnl`	Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data. CoRR Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen
2019	A*	`conf`	Nonconvex Low-Rank Tensor Completion from Noisy Data. NeurIPS Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen
2019	J	`jnl`	Subspace Estimation from Unbalanced and Incomplete Data Matrices: 𝓁 CoRR Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen
2019	J	`jnl`	Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph. CoRR Gen Li, Yuantao Gu
2018	J	`jnl`	A General Framework for Understanding Compressed Subspace Clustering Algorithms. IEEE J. Sel. Top. Signal Process. Linghang Meng, Gen Li, Jingkai Yan, Yuantao Gu
2018	J	`jnl`	Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. IEEE Signal Process. Lett. Yanxi Chen, Gen Li, Yuantao Gu
2018	J	`jnl`	An RIP-Based Performance Guarantee of Covariance-Assisted Matching Pursuit. IEEE Signal Process. Lett. Jiayang Wang, Gen Li, Lucas Rencker, Wenwu Wang, Yuantao Gu
2018	Misc	`conf`	Convergence Analysis on a Fast Iterative Phase Retrieval Algorithm Without Independence Assumption. ICASSP Gen Li, Yuchen Jiao, Yuantao Gu
2018	B	`conf`	Outage Probability Conjecture Does Not Hold for Two-Input-Multiple-Output (TIM 0) System. ISIT Gen Li, Jingkai Yan, Yuantao Gu
2018	—	`conf`	Restricted Isometry Property for Low-Dimensional Subspaces and its Application in Compressed Subspace Clustering. DSW Gen Li, Qinghua Liu, Yuantao Gu
2018	J	`jnl`	Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces. IEEE Trans. Signal Process. Gen Li, Yuantao Gu
2018	J	`jnl`	Rigorous Restricted Isometry Property of Low-Dimensional Subspaces. CoRR Gen Li, Qinghua Liu, Yuantao Gu
2018	—	`conf`	Subspace Principal Angle Preserving Property of Gaussian Random Projection. DSW Yuchen Jiao, Xinyue Shen, Gen Li, Yuantao Gu
2017	J	`jnl`	Active Orthogonal Matching Pursuit for Sparse Subspace Clustering. CoRR Yanxi Chen, Gen Li, Yuantao Gu
2017	Misc	`conf`	Distance-preserving property of random projection for subspaces. ICASSP Gen Li, Yuantao Gu
2017	J	`jnl`	Linear Convergence of An Iterative Phase Retrieval Algorithm with Data Reuse. CoRR Gen Li, Yuchen Jiao, Yuantao Gu
2017	J	`jnl`	On the Outage Probability Conjecture for MIMO Channels. CoRR Gen Li, Jingkai Yan, Yuantao Gu
2017	J	`jnl`	Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation. CoRR Yue M. Lu, Gen Li
2017	—	`conf`	Principal angles preserving property of Gaussian random projection for subspaces. GlobalSIP Yuchen Jiao, Gen Li, Yuantao Gu
2017	J	`jnl`	Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces. CoRR Gen Li, Yuantao Gu
2017	B	`conf`	Spectral initialization for nonconvex estimation: High-dimensional limit and phase transitions. ISIT Yue M. Lu, Gen Li
2015	—	`conf`	Phase retrieval using iterative projections: Dynamics in the large systems limit. Allerton Gen Li, Yuantao Gu, Yue M. Lu