Cheng Chen

A Near-Optimal Best-of-Both-Worlds Algorithm for Federated Bandits

Decentralized Stochastic Nonconvex Optimization under the Relaxed Smoothness

Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts

One Bad Sample May Spoil the Whole Batch: A Novel Backdoor-Like Attack Towards Large Batch Processing

Elucidating Guidance in Variance Exploding Diffusion Models: Fast Convergence and Better Diversity

The Accumulation of Score Estimation Error in Diffusion Models

Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration

A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond

Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme

The Convergence of Second-Order Sampling Methods for Diffusion Models

Adversarial Attacks on Cooperative Multi-agent Bandits

The Discretization Complexity Analysis of Consistency Models under Variance Exploding Forward Process