Wenhao Yang
22 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
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ICML (5)
AAAI (3)
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ICLR (2)
ACL (1)
ICCV (1)
IJCAI (1)
UAI (1)
Top co-authors
Keywords
reinforcement learning
(4)
policy optimization
(2)
meta algorithm
(2)
online convex optimization
(2)
sample complexity
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dynamic regret
(2)
markov decision process
(2)
regret bound
(2)
mirror descent
(2)
zero-shot learning
(1)
domain adaptation
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robotic manipulation
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logical reasoning
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attention mechanism
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causal inference
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online learning
(1)
contrastive learning
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distributed learning
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distributed optimization
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composite optimization
(1)
Papers
Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models
AAAI 2026
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
ACL 2026
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
ICCV 2025
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
AAAI 2025
Neuron based Personality Trait Induction in Large Language Models
ICLR 2025
Revisiting Differentially Private Algorithms for Decentralized Online Learning
ICML 2025
Smoothed Online Convex Optimization with Delayed Feedback
IJCAI 2025
Small-loss Adaptive Regret for Online Convex Optimization
ICML 2024
Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions
UAI 2024
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
ICML 2024
Universal Online Convex Optimization with $1$ Projection per Round
NIPS 2024
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
NIPS 2024
Online Composite Optimization Between Stochastic and Adversarial Environments
NIPS 2024
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees
AAAI 2024
A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning
AISTATS 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
ICML 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
ICML 2023
Federated Reinforcement Learning with Environment Heterogeneity
AISTATS 2022
Pluralistic Image Completion with Gaussian Mixture Models
NIPS 2022
Semi-infinitely Constrained Markov Decision Processes
NIPS 2022
On the Convergence of FedAvg on Non-IID Data
ICLR 2020
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning
NIPS 2019