Sinho Chewi
25 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(11)
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(2)
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Keyword Collector
(97)
Top co-authors
Research topics
Machine Learning
(22)
Optimization & Theory
(18)
Mathematics & Optimization
(16)
Optimization
(15)
Bayesian & Probabilistic Β· Machine Learning
(11)
Mathematics
(11)
Deep Learning
(6)
Artificial Intelligence
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(5)
Models
(5)
Learning Types
(2)
Probability
(2)
Computer Science
(1)
Core Methods
(1)
Foundations
(1)
Keywords
markov chain monte carlo
(9)
optimal transport
(5)
log-concave distribution
(5)
convergence guarantee
(5)
langevin dynamics
(4)
gradient descent
(4)
query complexity
(4)
kullback-leibler divergence
(3)
kl divergence
(3)
langevin monte carlo
(3)
poincare inequality
(3)
log-sobolev inequality
(3)
log-concave sampling
(3)
langevin diffusion
(3)
variational inference
(3)
fisher information
(2)
non-convex optimization
(2)
convergence rate
(2)
bayesian inference
(2)
wasserstein space
(2)
Papers
DDPM Score Matching and Distribution Learning (Extended Abstract)
COLT 2026
High-Accuracy Log-Concave Sampling with Stochastic Queries
COLT 2026
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
COLT 2024
Fast parallel sampling under isoperimetry
COLT 2024
Sampling from the Mean-Field Stationary Distribution
COLT 2024
Fisher information lower bounds for sampling
ALT 2023
Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
ICML 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
COLT 2023
Learning threshold neurons via edge of stability
NeurIPS 2023
On the complexity of finding stationary points of smooth functions in one dimension
ALT 2023
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
ICLR 2023
The probability flow ODE is provably fast
NeurIPS 2023
Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev
COLT 2022
Improved analysis for a proximal algorithm for sampling
COLT 2022
Rejection sampling from shape-constrained distributions in sublinear time
AISTATS 2022
The query complexity of sampling from strongly log-concave distributions in one dimension
COLT 2022
Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo
COLT 2022
Variational inference via Wasserstein gradient flows
NeurIPS 2022
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
NeurIPS 2021
Efficient constrained sampling via the mirror-Langevin algorithm
NeurIPS 2021
Fast and Smooth Interpolation on Wasserstein Space
AISTATS 2021
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
COLT 2021
Exponential ergodicity of mirror-Langevin diffusions
NeurIPS 2020
Gradient descent algorithms for Bures-Wasserstein barycenters
COLT 2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
NeurIPS 2020