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Peizhong Ju
Peizhong Ju
7
papers
38
total citations
papers (7)
Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
ICLR 2025
arXiv
12
citations
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model
NEURIPS 2022
arXiv
8
citations
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree
NEURIPS 2020
arXiv
7
citations
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
AAAI 2025
arXiv
6
citations
Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
ICLR 2025
arXiv
3
citations
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
ICLR 2024
arXiv
1
citations
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
ICML 2025
arXiv
1
citations