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Peizhong Ju

9 papers at tracked venues · 8 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Evaluating Sparse Autoencoders for Monosemantic Representation
  2. Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
  3. FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
  4. How to Find the Exact Pareto Front for Multi-Objective MDPs?
  5. PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
  6. Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
  7. Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
  8. Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
    ICLR 2024 · Peizhong Ju
  9. Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping