Yuanhao Wang
15 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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Unstoppable Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(12)
Optimization & Theory
(12)
Artificial Intelligence
(8)
Core AI
(7)
Mathematics & Optimization
(5)
Optimization
(5)
Reinforcement Learning
(4)
Methods
(3)
Applications
(2)
Core Methods
(2)
Learning Types Β· Machine Learning
(2)
Deep Learning
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
convergence rate
(3)
sample complexity
(3)
minimax optimization
(3)
markov game
(3)
regret bound
(3)
multi-agent learning
(2)
nash equilibrium
(2)
markov decision process
(2)
coarse correlated equilibrium
(2)
no-regret learning
(2)
convex optimization
(2)
gradient descent
(1)
regret minimization
(1)
function approximation
(1)
adversarial learning
(1)
bandit feedback
(1)
reinforcement learning from human feedback
(1)
step size adaptation
(1)
tensor factorization
(1)
linear function approximation
(1)
Papers
Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
ICML 2025
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
NeurIPS 2024
Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation
COLT 2023
Is RLHF More Difficult than Standard RL? A Theoretical Perspective
NeurIPS 2023
Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction
NeurIPS 2023
Learning Rationalizable Equilibria in Multiplayer Games
ICLR 2023
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
ICML 2022
Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization
AISTATS 2022
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
NeurIPS 2021
Online Learning in Unknown Markov Games
ICML 2021
On the Suboptimality of Negative Momentum for Minimax Optimization
AISTATS 2021
Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication
ICLR 2020
Improved Algorithms for Convex-Concave Minimax Optimization
NeurIPS 2020
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP
ICLR 2020
Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction
ECCV 2020