← Authors

Sinho Chewi

23 papers · 2020–2024 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (7) πŸ—ΊοΈ Taxonomy Completionist (19) πŸ‘‘ Triple Crown ⚑ Prolific Year (7) πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (76)

Conferences

COLT (10) NIPS (7) AISTATS (2) ALT (2) ICLR (1) ICML (1)

Top co-authors

Philippe Rigollet (8) Adil SALIM (6) Thibaut Le Gouic (6) Chen Lu (6) Shunshi Zhang (3) Krishna Balasubramanian (3) Austin Stromme (3) Kwangjun Ahn (3) Tyler Maunu (3) Murat A Erdogdu (2)

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