Yuantao Gu
14 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Conference Polyglot (5)
π
Renaissance Researcher
(5)
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π
Century Club
(13)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(68)
Conferences
NIPS (5)
AISTATS (3)
ICML (3)
AAAI (1)
COLT (1)
L4DC (1)
Top co-authors
Keywords
sample complexity
(4)
generative model
(3)
gradient descent
(2)
reinforcement learning
(2)
markov decision process
(2)
variance reduction
(2)
diffusion model
(2)
policy optimization
(1)
image generation
(1)
multi-agent reinforcement learning
(1)
function approximation
(1)
sampling strategy
(1)
text-to-image synthesis
(1)
global convergence
(1)
graph theory
(1)
principal component analysis
(1)
temporal difference learning
(1)
distributed learning
(1)
flow matching
(1)
communication complexity
(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
NIPS 2024
Benign overfitting of non-smooth neural networks beyond lazy training
AISTATS 2023
Oblivious near-optimal sampling for multidimensional signals with Fourier constraints
AISTATS 2023
Incremental Aggregated Riemannian Gradient Method for Distributed PCA
AISTATS 2023
Multi-Agent Reinforcement Learning with Reward Delays
L4DC 2023
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
ICML 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
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
NIPS 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
NIPS 2021
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
NIPS 2020
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
NIPS 2020