Huizhuo Yuan
10 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Renaissance Researcher (5)
π
Century Club Β· Bronze
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Keyword Collector
(55)
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(5)
Natural Language Processing
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Models
(3)
Optimization
(3)
Computer Vision
(2)
Generation Β· Natural Language Processing
(2)
Generation Β· Computer Vision
(2)
Learning Types
(2)
Resources & Methods
(2)
Reinforcement Learning
(1)
Keywords
reinforcement learning
(2)
diffusion model
(2)
reinforcement learning from human feedback
(2)
stochastic gradient descent
(2)
language model alignment
(1)
machine translation
(1)
function approximation
(1)
convergence analysis
(1)
non-convex optimization
(1)
text-to-image generation
(1)
preference optimization
(1)
minimax optimization
(1)
variance reduction
(1)
markov decision process
(1)
nash equilibrium
(1)
text generation
(1)
self-play
(1)
nonsmooth optimization
(1)
eluder dimension
(1)
sample efficiency
(1)
Papers
MARS: Unleashing the Power of Variance Reduction for Training Large Models
ICML 2025
Self-Play Preference Optimization for Language Model Alignment
ICLR 2025
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
NeurIPS 2024
Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
ICML 2024
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
ICML 2024
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation
NeurIPS 2024
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
ICLR 2023
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
ICML 2023
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory
ICML 2019
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
NeurIPS 2019