Wenlong Mou
10 papers · 2017–2022 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (5) π Cross-Pollinator (14)
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(20)
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Conference Polyglot
(4)
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(10)
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(57)
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Conferences
COLT (4)
ICML (3)
JMLR (2)
IJCAI (1)
Top co-authors
Research topics
Keywords
mixing time
(3)
stochastic gradient descent
(2)
sampling algorithm
(2)
stochastic gradient
(2)
markov chain monte carlo
(2)
differential privacy
(2)
convex optimization
(1)
empirical risk minimization
(1)
non-convex optimization
(1)
kernel ridge regression
(1)
posterior sampling
(1)
gradient descent
(1)
algorithmic stability
(1)
generalization error
(1)
markov chain
(1)
sample complexity
(1)
high-dimensional regression
(1)
stochastic approximation
(1)
rademacher complexity
(1)
k-means clustering
(1)
Papers
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
COLT 2022
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
COLT 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
JMLR 2022
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm
JMLR 2021
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
COLT 2020
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
COLT 2018
Dropout Training, Data-dependent Regularization, and Generalization Bounds
ICML 2018
Efficient Private ERM for Smooth Objectives
IJCAI 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
ICML 2017
Differentially Private Clustering in High-Dimensional Euclidean Spaces
ICML 2017