Yuting Wei
27 papers · 2017–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (10) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Academic Marathon (8)
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Academic Marathon
(8)
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Cross-Pollinator
(4)
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Renaissance Researcher
(7)
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Dynamic Duo
(13)
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Triple Crown
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Grand Slam
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Trend Setter
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Unstoppable
(6)
ποΈ
Keyword Collector
(100)
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Century Club
(27)
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Prolific Year
(6)
Conferences
NIPS (10)
ICML (6)
AISTATS (2)
EMNLP (2)
JMLR (2)
AAAI (1)
ACL (1)
COLT (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
sample complexity
(7)
generative model
(4)
markov decision process
(3)
nash equilibrium
(3)
markov game
(3)
zero-sum game
(2)
multi-agent reinforcement learning
(2)
bias mitigation
(2)
extragradient method
(2)
entropy regularization
(2)
quantal response equilibrium
(2)
policy optimization
(2)
linear mdp
(2)
variance reduction
(2)
statistical learning
(2)
minimax optimality
(2)
matrix game
(2)
function approximation
(1)
feature selection
(1)
contrastive learning
(1)
Papers
TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding
ACL 2025
Learning Causally Disentangled Representations for Fair Personality Detection
IJCAI 2025
Actor-Critics Can Achieve Optimal Sample Efficiency
ICML 2025
Towards a mathematical theory for consistency training in diffusion models
AISTATS 2025
Debiasing Evaluations That Are Biased by Evaluations
JMLR 2024
Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs
NIPS 2024
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
NIPS 2024
AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models
EMNLP 2024
Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering
EMNLP 2024
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models
ICLR 2024
Accelerating Convergence of Score-Based Diffusion Models, Provably
ICML 2024
Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
ICML 2024
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
JMLR 2024
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
NIPS 2023
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
NIPS 2022
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
ICML 2022
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression
AISTATS 2021
Softmax Policy Gradient Methods Can Take Exponential Time to Converge
COLT 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
NIPS 2021
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
ICML 2021
Debiasing Evaluations That Are Biased by Evaluations
AAAI 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
NIPS 2021
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
NIPS 2020
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
ICML 2020
Randomized tests for high-dimensional regression: A more efficient and powerful solution
NIPS 2020
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
NIPS 2020
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
NIPS 2017