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Yuejie Chi
Yuejie Chi
22
papers
1,042
total citations
papers (22)
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
NEURIPS 2020
arXiv
143
citations
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
NEURIPS 2020
arXiv
131
citations
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
NEURIPS 2021
arXiv
93
citations
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
ICML 2024
arXiv
79
citations
Accelerating Convergence of Score-Based Diffusion Models, Provably
ICML 2024
arXiv
70
citations
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
ICML 2025
arXiv
65
citations
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression
NEURIPS 2022
arXiv
65
citations
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
NEURIPS 2021
arXiv
64
citations
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
NEURIPS 2022
arXiv
54
citations
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
NEURIPS 2023
arXiv
53
citations
Understanding Masked Autoencoders via Hierarchical Latent Variable Models
CVPR 2023
arXiv
47
citations
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
NEURIPS 2023
arXiv
36
citations
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
NEURIPS 2021
arXiv
31
citations
Identification of Nonlinear Latent Hierarchical Models
NEURIPS 2023
arXiv
26
citations
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
NEURIPS 2022
arXiv
20
citations
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
ICML 2024
arXiv
17
citations
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning
NEURIPS 2023
arXiv
17
citations
Counterfactual Generation with Identifiability Guarantees
NEURIPS 2023
arXiv
10
citations
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
ICML 2024
arXiv
9
citations
Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization
NEURIPS 2025
arXiv
5
citations
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
ICML 2025
arXiv
4
citations
A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
ICLR 2025
arXiv
3
citations