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Theoretical guarantees for approximate sampling from smooth and
  log-concave densities

Theoretical guarantees for approximate sampling from smooth and log-concave densities

23 December 2014
A. Dalalyan
ArXivPDFHTML

Papers citing "Theoretical guarantees for approximate sampling from smooth and log-concave densities"

14 / 14 papers shown
Title
Improving the evaluation of samplers on multi-modal targets
Improving the evaluation of samplers on multi-modal targets
Louis Grenioux
Maxence Noble
Marylou Gabrié
345
0
0
11 Apr 2025
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
Nina Vesseron
Louis Béthune
Marco Cuturi
96
0
0
13 Mar 2025
Enhancing Gradient-based Discrete Sampling via Parallel Tempering
Enhancing Gradient-based Discrete Sampling via Parallel Tempering
Luxu Liang
Yuhang Jia
Feng Zhou
90
0
0
26 Feb 2025
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper]
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper]
Andreas Habring
Alexander Falk
Thomas Pock
84
0
0
03 Feb 2025
Learned Reference-based Diffusion Sampling for multi-modal distributions
Learned Reference-based Diffusion Sampling for multi-modal distributions
Maxence Noble
Louis Grenioux
Marylou Gabrié
Alain Durmus
DiffM
65
3
0
25 Oct 2024
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Matthew Burns
Qingyuan Hou
Michael Huang
345
1
0
08 Oct 2024
Proximal Interacting Particle Langevin Algorithms
Proximal Interacting Particle Langevin Algorithms
Paula Cordero Encinar
F. R. Crucinio
O. Deniz Akyildiz
61
5
0
20 Jun 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis
Paul Viallard
George Deligiannidis
Umut Simsekli
79
4
0
26 Apr 2024
Sampling and estimation on manifolds using the Langevin diffusion
Sampling and estimation on manifolds using the Langevin diffusion
Karthik Bharath
Alexander Lewis
Akash Sharma
M. Tretyakov
DiffM
91
5
0
22 Dec 2023
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Marien Renaud
Jiaming Liu
Valentin De Bortoli
Andrés Almansa
Ulugbek S. Kamilov
53
5
0
05 Oct 2023
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation
Ö. Deniz Akyildiz
F. R. Crucinio
Mark Girolami
Tim Johnston
Sotirios Sabanis
60
13
0
23 Mar 2023
An Analysis of Constant Step Size SGD in the Non-convex Regime:
  Asymptotic Normality and Bias
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu
Krishnakumar Balasubramanian
S. Volgushev
Murat A. Erdogdu
73
50
0
14 Jun 2020
Estimating Normalizing Constants for Log-Concave Distributions:
  Algorithms and Lower Bounds
Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds
Rong Ge
Holden Lee
Jianfeng Lu
35
22
0
08 Nov 2019
Langevin diffusions and the Metropolis-adjusted Langevin algorithm
Langevin diffusions and the Metropolis-adjusted Langevin algorithm
Tatiana Xifara
Chris Sherlock
Samuel Livingstone
Simon Byrne
Mark Girolami
61
126
0
11 Sep 2013
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