Wenlong Mou
10 papers · 2017–2022 · 4 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
Jump to papers ↓+3 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (20) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(63)
Top co-authors
Research topics
Keywords
mixing time
(3)
stochastic gradient
(2)
sampling algorithm
(2)
convex optimization
(2)
markov chain monte carlo
(2)
stochastic approximation
(2)
differential privacy
(2)
stochastic gradient descent
(2)
policy evaluation
(1)
posterior sampling
(1)
temporal difference learning
(1)
sample complexity
(1)
empirical risk minimization
(1)
gradient descent
(1)
markov chain
(1)
k-means clustering
(1)
high-dimensional regression
(1)
rademacher complexity
(1)
generalization error
(1)
algorithmic stability
(1)
Papers
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
JMLR 2022
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
COLT 2022
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
COLT 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
Dropout Training, Data-dependent Regularization, and Generalization Bounds
ICML 2018
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
COLT 2018
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
ICML 2017
Differentially Private Clustering in High-Dimensional Euclidean Spaces
ICML 2017
Efficient Private ERM for Smooth Objectives
IJCAI 2017