Qiwei Di

16 papers A* 6Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence.
CoRR
Shiyuan Zhang, Qiwei Di, Xuheng Li, Quanquan Gu
2026 J jnl
Near-Optimal Regret for KL-Regularized Multi-Armed Bandits.
CoRR
Kaixuan Ji, Qingyue Zhao, Heyang Zhao, Qiwei Di, Quanquan Gu
2025 J jnl
Best-of-Majority: Minimax-Optimal Strategy for Pass@
CoRR
Qiwei Di, Kaixuan Ji, Xuheng Li, Heyang Zhao, Quanquan Gu
2025 A* conf
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback.
ICML
Qiwei Di, Jiafan He, Quanquan Gu
2025 J jnl
On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference.
CoRR
Yue Yu, Qiwei Di, Quanquan Gu, Dongruo Zhou
2025 A* conf
Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers.
ICLR
Runjia Li, Qiwei Di, Quanquan Gu
2024 A* conf
Borda Regret Minimization for Generalized Linear Dueling Bandits.
ICML
Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu
2024 J jnl
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path.
CoRR
Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu
2024 J jnl
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback.
CoRR
Qiwei Di, Jiafan He, Quanquan Gu
2024 A* conf
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning.
ICLR
Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
2024 J jnl
Relative-Translation Invariant Wasserstein Distance.
CoRR
Binshuai Wang, Qiwei Di, Ming Yin, Mengdi Wang, Quanquan Gu, Peng Wei
2024 J jnl
Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers.
CoRR
Runjia Li, Qiwei Di, Quanquan Gu
2024 A* conf
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits.
ICLR
Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu
2023 A* conf
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path.
ICML
Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu
2023 J jnl
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning.
CoRR
Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
2023 J jnl
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits.
CoRR
Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu