Ruofeng Yang
8 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
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Hot Topic Early Bird
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Grand Slam
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Research topics
Deep Learning
(6)
Machine Learning
(6)
Models
(5)
Optimization & Theory · Machine Learning
(5)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Core Methods
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Learning Paradigms
(1)
Methods
(1)
Keywords
diffusion model
(4)
stochastic differential equation
(2)
probability flow ode
(2)
regret bound
(2)
few-shot learning
(2)
representation learning
(2)
policy optimization
(1)
high-dimensional modeling
(1)
feature learning
(1)
gradient descent
(1)
linear function approximation
(1)
bandit feedback
(1)
generative model
(1)
pre-trained model
(1)
theoretical analysis
(1)
iteration complexity
(1)
convergence guarantee
(1)
sample complexity
(1)
score function
(1)
self-supervised learning
(1)
Papers
Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration
UAI 2026
Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme
ICML 2025
The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers
AISTATS 2025
Few-Shot Diffusion Models Escape the Curse of Dimensionality
NeurIPS 2024
Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
NeurIPS 2024
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
Understanding Representation Learnability of Nonlinear Self-Supervised Learning
AAAI 2023