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Yuantao Gu

14 papers · 2020–2026 · 6 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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+2 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (26) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver ⚑ Prolific Year Β· Productive
πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (76)

Venues

NeurIPS (5) AISTATS (3) ICML (3) AAAI (1) COLT (1) L4DC (1)

Top co-authors

Gen Li (8) Yuejie Chi (6) Yuxin Chen (6) Yuting Wei (5) Cheng Jin (3) Xingyu Xu (2) Zhenyu Xiao (2) Jiaxin Zhuang (1) Chutao Liu (1) Na Li (1)

Research topics

Machine Learning (12) Optimization & Theory (11) Reinforcement Learning (6) Methods (6) Deep Learning (4) Core Methods (4) Learning Types (4) Models (3) Computer Vision (2) Mathematics & Optimization (2) Optimization (2) Artificial Intelligence (1) Applications (1) Architectures (1) Core AI (1)

Keywords

sample complexity (4) reinforcement learning (3) markov decision process (3) generative model (3) variance reduction (2) gradient descent (2) diffusion model (2) policy optimization (1) image generation (1) multi-agent reinforcement learning (1) graph theory (1) function approximation (1) sampling strategy (1) text-to-image synthesis (1) policy gradient (1) principal component analysis (1) temporal difference learning (1) communication complexity (1) distributed learning (1) minimax optimality (1)

Papers

A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler AAAI 2026 Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation ICML 2025 Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems NeurIPS 2024 Benign overfitting of non-smooth neural networks beyond lazy training AISTATS 2023 Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023 Multi-Agent Reinforcement Learning with Reward Delays L4DC 2023 Oblivious near-optimal sampling for multidimensional signals with Fourier constraints AISTATS 2023 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning 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 Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph ICML 2021 Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021 Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model NeurIPS 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NeurIPS 2020