Yi-An Ma
7 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19) π Conference Polyglot Β· Silver
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Topic Evolution
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Trend Setter
β
The Questioner
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory Β· Machine Learning
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Bayesian & Probabilistic Β· Machine Learning
(4)
Probability
(3)
Deep Learning
(2)
Learning Types
(2)
Optimization & Theory Β· Deep Learning
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core Methods
(1)
Mathematics
(1)
Keywords
markov chain monte carlo
(5)
stochastic gradient
(2)
bayesian inference
(2)
log-concave sampling
(2)
mixing time
(2)
stochastic process
(1)
parameter learning
(1)
hamiltonian monte carlo
(1)
score estimation
(1)
hidden markov model
(1)
convergence rate
(1)
transition kernel
(1)
convolutional network
(1)
mixture of expert
(1)
langevin monte carlo
(1)
log-concave distribution
(1)
convex body
(1)
barrier function
(1)
dikin walk
(1)
markov process
(1)
Papers
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
COLT 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk
NeurIPS 2024
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint
JMLR 2022
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm
JMLR 2021
Deep Mixture of Experts via Shallow Embedding
UAI 2019
Stochastic Gradient MCMC Methods for Hidden Markov Models
ICML 2017
A Complete Recipe for Stochastic Gradient MCMC
NeurIPS 2015