Ruoqi Shen
13 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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The Questioner
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
(70)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Mathematics & Optimization
(10)
Optimization & Theory
(10)
Bayesian & Probabilistic · Machine Learning
(7)
Optimization
(6)
Artificial Intelligence
(5)
Mathematics
(5)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(2)
Application Areas
(2)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Keywords
markov chain monte carlo
(7)
mixing time
(5)
log-concave distribution
(2)
log-concave sampling
(2)
convex optimization
(2)
hamiltonian monte carlo
(2)
convergence rate
(2)
riemannian hamiltonian monte carlo
(2)
vision transformer
(1)
data augmentation
(1)
stochastic gradient descent
(1)
deep learning theory
(1)
representation learning
(1)
markov decision process
(1)
particle filtering
(1)
systems biology
(1)
reinforcement learning
(1)
stochastic process
(1)
distribution shift
(1)
domain generalization
(1)
Papers
How to Fine-Tune Vision Models with SGD
ICLR 2024
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler
COLT 2023
Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators
COLT 2023
Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev
COLT 2022
Data Augmentation as Feature Manipulation
ICML 2022
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
NeurIPS 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
NeurIPS 2022
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
NeurIPS 2021
Structured Logconcave Sampling with a Restricted Gaussian Oracle
COLT 2021
When is particle filtering efficient for planning in partially observed linear dynamical systems?
UAI 2021
Generalized Leverage Score Sampling for Neural Networks
NeurIPS 2020
Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo
COLT 2020
The Randomized Midpoint Method for Log-Concave Sampling
NeurIPS 2019