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Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without
  Convexity

Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity

10 July 2021
Yuling Jiao
Lican Kang
Yanyan Liu
Youzhou Zhou
    OT
ArXivPDFHTML

Papers citing "Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity"

6 / 6 papers shown
Title
An Efficient On-Policy Deep Learning Framework for Stochastic Optimal Control
An Efficient On-Policy Deep Learning Framework for Stochastic Optimal Control
Mengjian Hua
Matthieu Laurière
Eric Vanden-Eijnden
31
3
0
07 Oct 2024
A Practical Diffusion Path for Sampling
A Practical Diffusion Path for Sampling
Omar Chehab
Anna Korba
DiffM
34
1
0
20 Jun 2024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer
  Processes
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
Yifan Chen
Mark Goldstein
Mengjian Hua
M. S. Albergo
Nicholas M. Boffi
Eric Vanden-Eijnden
AI4TS
33
16
0
20 Mar 2024
Enhancing Score-Based Sampling Methods with Ensembles
Enhancing Score-Based Sampling Methods with Ensembles
T. Bischoff
B. Riel
22
1
0
31 Jan 2024
Coupling and Convergence for Hamiltonian Monte Carlo
Coupling and Convergence for Hamiltonian Monte Carlo
Nawaf Bou-Rabee
A. Eberle
Raphael Zimmer
77
136
0
01 May 2018
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
58
231
0
11 Jul 2016
1