Playlist: 29 videos

Sampling Algorithms and Geometries on Probability Distributions

0:40:0

Random Coordinate Descent and Langevin Monte Carlo

Qin Li (UW Madison)
https://simons.berkeley.edu/talks/random-coordinate-descent-and-langevin-monte-carlo
Sampling Algorithms and Geometries on Probability Distributions
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0:46:5

A Geometric and Analytical Perspective on Adversarial Learning Problems

Nicolas Garcia Trillos (University of Wisconsin-Madison)
https://simons.berkeley.edu/talks/a-geometric-analytical-perspective
Sampling Algorithms and Geometries on Probability Distributions
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Current and Future Applications of Sampling Algorithms in Modelling Biochemical Networks

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0:50:5

A Blob Method for Diffusion and Applications to Sampling and Two Layer Neural Networks

Katy Craig (UC Santa Barbara)
https://simons.berkeley.edu/talks/blob-method-diffusion-and-applications-sampling-and-two-layer-neural-networks
Sampling Algorithms and Geometries on Probability Distributions
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0:35:26

A Mean-Field Theory of Lazy Training in Two-Layer Neural Nets: Entropic Regularization and Controlled McKean-Vlasov Dynamics

Belinda Tzen (UIUC)
https://simons.berkeley.edu/talks/mean-field-theory-lazy-training-two-layer-neural-nets-entropic-regularization-and-controlled
Sampling Algorithms and Geometries on Probability Distributions
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0:40:51

Kernel Stein Discrepancy Descent

Anna Korba (ENSAE Paris)
https://simons.berkeley.edu/talks/kernel-stein-discrepancy-descent
Sampling Algorithms and Geometries on Probability Distributions
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0:42:36

Sampling Convex Bodies: A Status Report

Santosh Vempala (Georgia Tech)
https://simons.berkeley.edu/talks/sampling-convex-bodies
Sampling Algorithms and Geometries on Probability Distributions
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0:43:25

Quantitative Convergence Analysis of Hypocoercive Sampling Dynamics

Jianfeng Lu (Duke University)
https://simons.berkeley.edu/talks/quantitative-convergence-analysis-hypocoercive-sampling-dynamics
Sampling Algorithms and Geometries on Probability Distributions
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0:47:15

Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling

Yuansi Chen (Duke University)
https://simons.berkeley.edu/talks/minimax-mixing-time-metropolis-adjusted-langevin-algorithm-log-concave-sampling
Sampling Algorithms and Geometries on Probability Distributions
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0:39:25

High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm

Wenlong Mou (UC Berkeley)
https://simons.berkeley.edu/talks/high-order-langevin-diffusion-yields-accelerated-mcmc-algorithm
Sampling Algorithms and Geometries on Probability Distributions
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