Qiwei Di

According to our database, Qiwei Di authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence.

Shiyuan Zhang, Qiwei Di, Xuheng Li, Quanquan Gu

CoRR, March, 2026

Near-Optimal Regret for KL-Regularized Multi-Armed Bandits.

Kaixuan Ji, Qingyue Zhao, Heyang Zhao, Qiwei Di, Quanquan Gu

CoRR, March, 2026

2025

On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference.

Yue Yu, Qiwei Di, Quanquan Gu, Dongruo Zhou

CoRR, December, 2025

Best-of-Majority: Minimax-Optimal Strategy for Pass@<i>k</i> Inference Scaling.

Qiwei Di, Kaixuan Ji, Xuheng Li, Heyang Zhao, Quanquan Gu

CoRR, October, 2025

Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback.

Qiwei Di, Jiafan He, Quanquan Gu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers.

Runjia Li, Qiwei Di, Quanquan Gu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Relative-Translation Invariant Wasserstein Distance.

Binshuai Wang, Qiwei Di, Ming Yin, Mengdi Wang, Quanquan Gu, Peng Wei

CoRR, 2024

Borda Regret Minimization for Generalized Linear Dueling Bandits.

Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning.

Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits.

Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path.

Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu

Proceedings of the International Conference on Machine Learning, 2023