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Yuting Wei

28 papers · 2017–2026 · 10 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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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (45) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🀝 Dynamic Duo (13) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (128)

Venues

NeurIPS (10) ICML (6) AISTATS (2) COLT (2) EMNLP (2) JMLR (2) AAAI (1) ACL (1) ICLR (1) IJCAI (1)

Top co-authors

Yuejie Chi (13) Gen Li (11) Yuxin Chen (11) Yuantao Gu (5) Bin Wu (4) Yuanxing Xu (3) Shicong Cen (3) Kevin Tan (2) Yangfu Zhu (2) Di Liu (2)

Research topics

Machine Learning (20) Optimization & Theory (15) Reinforcement Learning (12) Methods (11) Learning Types Β· Machine Learning (8) Deep Learning (7) Artificial Intelligence (6) Mathematics & Optimization (6) Optimization (6) Core AI (5) Models (5) Application Areas (4) Applications (4) Learning Types Β· Deep Learning (3) Natural Language Processing (2)

Keywords

sample complexity (9) markov decision process (4) generative model (4) diffusion model (3) nash equilibrium (3) markov game (3) quantal response equilibrium (2) zero-sum game (2) matrix game (2) score function (2) multi-agent reinforcement learning (2) policy optimization (2) entropy regularization (2) extragradient method (2) variance reduction (2) minimax optimality (2) statistical learning (2) reinforcement learning (2) function approximation (2) convergence rate (2)

Papers

Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees COLT 2026 Actor-Critics Can Achieve Optimal Sample Efficiency ICML 2025 Learning Causally Disentangled Representations for Fair Personality Detection IJCAI 2025 TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding ACL 2025 Towards a mathematical theory for consistency training in diffusion models AISTATS 2025 Accelerating Convergence of Score-Based Diffusion Models, Provably ICML 2024 AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models EMNLP 2024 Debiasing Evaluations That Are Biased by Evaluations JMLR 2024 Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering EMNLP 2024 Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization JMLR 2024 Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NeurIPS 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NeurIPS 2024 Theoretical insights for diffusion guidance: A case study for Gaussian mixture models ICML 2024 Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models ICLR 2024 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NeurIPS 2023 Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model NeurIPS 2022 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022 Debiasing Evaluations That Are Biased by Evaluations AAAI 2021 Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization NeurIPS 2021 Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NeurIPS 2021 Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021 Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021 Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression AISTATS 2021 Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model NeurIPS 2020 Randomized tests for high-dimensional regression: A more efficient and powerful solution NeurIPS 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NeurIPS 2020 Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification ICML 2020 Early stopping for kernel boosting algorithms: A general analysis with localized complexities NeurIPS 2017