Shuai Li

Bandit Learning for Online Scheduling with Immediate Decision UAI 2026 Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration UAI 2026 Policy Optimization for Adversarial Linear Mixture MDPs with Unknown Transitions and Bandit Feedback UAI 2026 A Survey on Bandit Learning in Matching Markets IJCAI 2025 Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce AAAI 2025 Bandit Learning in Matching Markets with Indifference ICLR 2025 Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs COLING 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition IJCAI 2025 Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme ICML 2025 Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback ICML 2025 Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025 Multi-player Multi-armed Bandits with Delayed Feedback IJCAI 2025 Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation ICML 2025 Online-to-Offline RL for Agent Alignment ICLR 2025 Optimal Algorithm for Max-Min Fair Bandit ICML 2025 The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers AISTATS 2025 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation UAI 2025 Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024 Calibrating Reasoning in Language Models with Internal Consistency NeurIPS 2024 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond ICML 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality NeurIPS 2024 Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 2024 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility AAAI 2024 In-context Learning on Function Classes Unveiled for Transformers ICML 2024 Learning Versatile Skills with Curriculum Masking NeurIPS 2024 Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models NeurIPS 2024 On Stationary Point Convergence of PPO-Clip ICLR 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 Adversarial Attacks on Online Learning to Rank with Click Feedback NeurIPS 2023 Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm COLT 2023 DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning IJCAI 2023 Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits AAAI 2023 Few-Shot Composition Learning for Image Retrieval with Prompt Tuning AAAI 2023 Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NeurIPS 2023 Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition ICLR 2023 Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback NeurIPS 2023 Online Clustering of Bandits with Misspecified User Models NeurIPS 2023 Online Corrupted User Detection and Regret Minimization NeurIPS 2023 Stochastic No-regret Learning for General Games with Variance Reduction ICLR 2023 Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023 Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022 Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations EMNLP 2022 Federated online clustering of bandits UAI 2022 Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022 Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback ICML 2022 Thompson Sampling for Bandit Learning in Matching Markets IJCAI 2022 The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle NeurIPS 2021 Online Influence Maximization under Linear Threshold Model NeurIPS 2020 Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020 The Gambler's Problem and Beyond ICLR 2020 Improved Algorithm on Online Clustering of Bandits IJCAI 2019 Contextual Combinatorial Cascading Bandits ICML 2016