Sinho Chewi
23 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
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(23)
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(76)
Conferences
COLT (10)
NIPS (7)
AISTATS (2)
ALT (2)
ICLR (1)
ICML (1)
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Keywords
markov chain monte carlo
(7)
optimal transport
(5)
log-concave distribution
(4)
poincare inequality
(3)
variational inference
(3)
gradient descent
(3)
query complexity
(3)
langevin monte carlo
(3)
convergence guarantee
(3)
log-sobolev inequality
(3)
wasserstein gradient flow
(2)
fisher information
(2)
langevin dynamics
(2)
kl divergence
(2)
rejection sampling
(2)
wasserstein space
(2)
probability measure
(2)
bayesian inference
(2)
langevin diffusion
(2)
gaussian approximation
(1)
Papers
Sampling from the Mean-Field Stationary Distribution
COLT 2024
Fast parallel sampling under isoperimetry
COLT 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
COLT 2024
Fisher information lower bounds for sampling
ALT 2023
Learning threshold neurons via edge of stability
NIPS 2023
The probability flow ODE is provably fast
NIPS 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
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
ICLR 2023
On the complexity of finding stationary points of smooth functions in one dimension
ALT 2023
Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo
COLT 2022
Variational inference via Wasserstein gradient flows
NIPS 2022
Rejection sampling from shape-constrained distributions in sublinear time
AISTATS 2022
Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev
COLT 2022
The query complexity of sampling from strongly log-concave distributions in one dimension
COLT 2022
Improved analysis for a proximal algorithm for sampling
COLT 2022
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
NIPS 2021
Fast and Smooth Interpolation on Wasserstein Space
AISTATS 2021
Efficient constrained sampling via the mirror-Langevin algorithm
NIPS 2021
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
COLT 2021
Gradient descent algorithms for Bures-Wasserstein barycenters
COLT 2020
Exponential ergodicity of mirror-Langevin diffusions
NIPS 2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
NIPS 2020