ZHIYAN DING
5 papers · 2020–2022 · 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
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Mathematics & Optimization
(4)
Optimization
(4)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(1)
Deep Learning
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
log-concave distribution
(4)
langevin monte carlo
(3)
stochastic gradient
(3)
variance reduction
(2)
markov chain monte carlo
(2)
high-dimensional sampling
(2)
random coordinate descent
(2)
gradient descent
(1)
coordinate descent
(1)
partial differential equation
(1)
mean-field analysis
(1)
residual neural network
(1)
underdamped langevin monte carlo
(1)
random coordinate sampling
(1)
langevin dynamics
(1)
mean field theory
(1)
neural network training
(1)
bayesian inference
(1)
neural network optimization
(1)
bayesian sampling
(1)
Papers
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis
JMLR 2022
Langevin Monte Carlo: random coordinate descent and variance reduction
JMLR 2021
Random Coordinate Langevin Monte Carlo
COLT 2021
Random Coordinate Underdamped Langevin Monte Carlo
AISTATS 2021
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo
NeurIPS 2020