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Lin Yang

103 papers · 2015–2026 · 15 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 28 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Lin Yang?

9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Ruosong Wang, Mengdi Wang, Vladimir braverman 32 papers · 2017–2025 · NeurIPS, ICML, AISTATS Hide ▲
Misspecified Q-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error ICLR 2025 Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds ICLR 2025 Gap-Dependent Unsupervised Exploration for Reinforcement Learning AISTATS 2022 Near-Optimal Sample Complexity Bounds for Constrained MDPs NeurIPS 2022 On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning ICML 2022 Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning NeurIPS 2021 Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021 Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021 Is Long Horizon RL More Difficult Than Short Horizon RL? NeurIPS 2020 Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NeurIPS 2020 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity NeurIPS 2020 Model-Based Reinforcement Learning with Value-Targeted Regression ICML 2020 Model-Based Reinforcement Learning with Value-Targeted Regression L4DC 2020 Nearly Linear Row Sampling Algorithm for Quantile Regression ICML 2020 Obtaining Adjustable Regularization for Free via Iterate Averaging ICML 2020 On Reward-Free Reinforcement Learning with Linear Function Approximation NeurIPS 2020 Planning with General Objective Functions: Going Beyond Total Rewards NeurIPS 2020 Preference-based Reinforcement Learning with Finite-Time Guarantees NeurIPS 2020 Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning NeurIPS 2020 Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound ICML 2020 Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension NeurIPS 2020 Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020 Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity AISTATS 2020 Efficient Symmetric Norm Regression via Linear Sketching NeurIPS 2019 On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition AISTATS 2019 Online Factorization and Partition of Complex Networks by Random Walk UAI 2019 Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019 Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization NeurIPS 2018 Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NeurIPS 2018 The Physical Systems Behind Optimization Algorithms NeurIPS 2018 On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning NeurIPS 2017
19 papers whose co-authors appear nowhere else under this name
ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following ACL 2026 Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor CVPR 2026 Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples ICML 2025 CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding MICCAI 2025 Transfer Q-Learning with Composite MDP Structures ICML 2025 LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification ACL 2024 Does Sparsity Help in Learning Misspecified Linear Bandits? ICML 2023 Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds ICML 2023 MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models ACL 2023 Replicability in Reinforcement Learning NeurIPS 2023 Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images CVPR 2022 Explainable Survival Analysis with Convolution-Involved Vision Transformer AAAI 2022 Hybrid Curriculum Learning for Emotion Recognition in Conversation AAAI 2022 Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning NeurIPS 2022 Q-learning with Logarithmic Regret AISTATS 2021 The LeVoice Far-Field Speech Recognition System for VOiCES from a Distance Challenge 2019 Interspeech 2019 Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation CVPR 2018 Super Characters: A Conversion from Sentiment Classification to Image Classification EMNLP 2018 Fine-Grained Histopathological Image Analysis via Robust Segmentation and Large-Scale Retrieval CVPR 2015

Venues · all papers under this name

NeurIPS (28) ICML (17) CVPR (12) AAAI (11) AISTATS (10) ICLR (7) ECCV (4) ACL (3) MICCAI (3) UAI (3) COLT (1) EMNLP (1) Interspeech (1) L4DC (1) MIDL (1)