Peizhong Ju

How to Find the Exact Pareto Front for Multi-Objective MDPs?

Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers

Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach

Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective

FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation

BeST - A Novel Source Selection Metric for Transfer Learning

Replay concurrently or sequentially? A theoretical perspective on replay in continual learning

Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning

Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping

Theoretical Analysis on the Generalization Power of Overfitted Transfer Learning

Understanding the Theoretical Generalization Performance of Federated Learning

Distributed Linear Dimensionality Reduction Assisted by Centralized NN for Classification