Peizhong Ju
14 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Dynamic Duo
(10)
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(65)
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Prolific Year Β· Productive
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Century Club Β· Bronze
Venues
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Research topics
Machine Learning
(12)
Optimization & Theory Β· Machine Learning
(10)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(5)
Learning Types
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Core Methods
(2)
Models
(2)
Optimization & Theory Β· Deep Learning
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Learning Paradigms
(1)
Keywords
generalization error
(4)
double descent
(3)
convergence rate
(3)
computational complexity
(2)
neural tangent kernel
(2)
gradient descent
(2)
linear regression
(2)
learning theory
(2)
continual learning
(2)
diffusion model
(2)
catastrophic forgetting
(2)
gradient estimation
(1)
sample complexity
(1)
markov decision process
(1)
convergence analysis
(1)
compressive sensing
(1)
online convex optimization
(1)
multi-task learning
(1)
dynamic programming
(1)
zero-shot learning
(1)
Papers
Evaluating Sparse Autoencoders for Monosemantic Representation
EACL 2026
Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
ICLR 2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
ICML 2025
How to Find the Exact Pareto Front for Multi-Objective MDPs?
ICLR 2025
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
AAAI 2025
Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
ICLR 2025
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
ICML 2025
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
ICLR 2024
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
ICLR 2024
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
ICLR 2023
Theory on Forgetting and Generalization of Continual Learning
ICML 2023
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model
NeurIPS 2022
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
ICML 2021
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree
NeurIPS 2020