Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path. - Qiwei Di; Jiafan He; Dongruo Zhou; Quanquan Gu (ICML, 2023)

Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits. - Qiwei Di; Tao Jin 002; Yue Wu; Heyang Zhao; Farzad Farnoud; Quanquan Gu (ICLR, 2024)

Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning. - Qiwei Di; Heyang Zhao; Jiafan He; Quanquan Gu (ICLR, 2024)

Borda Regret Minimization for Generalized Linear Dueling Bandits. - Yue Wu; Tao Jin 002; Qiwei Di; Hao Lou; Farzad Farnoud; Quanquan Gu (ICML, 2024)

Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback. - Qiwei Di; Jiafan He; Quanquan Gu (CoRR, 2024)

Relative-Translation Invariant Wasserstein Distance. - Binshuai Wang; Qiwei Di; Ming Yin 003; Mengdi Wang; Quanquan Gu; Peng Wei (CoRR, 2024)

Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers. - Runjia Li; Qiwei Di; Quanquan Gu (ICLR, 2025)