Improving the evaluation of samplers on multi-modal targets

11 April 2025

Papers citing "Improving the evaluation of samplers on multi-modal targets"

30 / 30 papers shown

Title
Sequential Controlled Langevin Diffusions Junhua Chen Lorenz Richter Julius Berner Denis Blessing Gerhard Neumann A. Anandkumar 115 22 0 10 Dec 2024
Learned Reference-based Diffusion Sampling for multi-modal distributions Maxence Noble Louis Grenioux Marylou Gabrié Alain Durmus DiffM 112 6 0 25 Oct 2024
A theoretical perspective on mode collapse in variational inference Roman Soletskyi Marylou Gabrié Bruno Loureiro DRL 55 5 0 17 Oct 2024
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling Denis Blessing Xiaogang Jia Johannes Esslinger Francisco Vargas Gerhard Neumann 127 27 0 11 Jun 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion Ye He Kevin Rojas Molei Tao DiffM 114 11 0 27 Feb 2024
Stochastic Localization via Iterative Posterior Sampling Louis Grenioux Maxence Noble Marylou Gabrié Alain Durmus DiffM 88 16 0 16 Feb 2024
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo Xunpeng Huang Difan Zou Hanze Dong Yian Ma Tong Zhang DiffM 58 12 0 12 Jan 2024
Reverse Diffusion Monte Carlo Xunpeng Huang Hanze Dong Yi Hao Yi-An Ma Tong Zhang DiffM 83 28 0 05 Jul 2023
Improved sampling via learned diffusions Lorenz Richter Julius Berner DiffM 105 65 0 03 Jul 2023
Sampling, Diffusions, and Stochastic Localization Andrea Montanari DiffM 50 34 0 18 May 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 315 326 0 15 Mar 2023
Denoising Diffusion Samplers Francisco Vargas Will Grathwohl Arnaud Doucet DiffM 65 90 0 27 Feb 2023
On Sampling with Approximate Transport Maps Louis Grenioux Alain Durmus Eric Moulines Marylou Gabrié OT 56 17 0 09 Feb 2023
normflows: A PyTorch Package for Normalizing Flows Vincent Stimper David Liu Andrew Campbell V. Berenz Lukas Ryll Bernhard Schölkopf José Miguel Hernández-Lobato AI4CE 68 63 0 26 Jan 2023
Learning Interpolations between Boltzmann Densities Bálint Máté Franccois Fleuret 137 28 0 18 Jan 2023
An optimal control perspective on diffusion-based generative modeling Julius Berner Lorenz Richter Karen Ullrich DiffM 141 95 0 02 Nov 2022
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 102 119 0 30 Nov 2021
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence Ghassen Jerfel S. Wang Clara Fannjiang Katherine A. Heller Yi-An Ma Michael I. Jordan BDL 129 40 0 30 Jun 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 386 6,592 0 26 Nov 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 72 63 0 22 Jun 2020
Neural Importance Sampling Thomas Müller Brian McWilliams Fabrice Rousselle Markus Gross Jan Novák 75 364 0 11 Aug 2018
Coupling and Convergence for Hamiltonian Monte Carlo Nawaf Bou-Rabee A. Eberle Raphael Zimmer 127 138 0 01 May 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast Raaz Dwivedi Yuansi Chen Martin J. Wainwright Bin Yu 84 255 0 08 Jan 2018
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,723 0 26 May 2016
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 127 357 0 05 May 2016
Importance Sampling: Intrinsic Dimension and Computational Cost S. Agapiou O. Papaspiliopoulos D. Sanz-Alonso Andrew M. Stuart 104 162 0 19 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 324 4,198 0 21 May 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 107 516 0 23 Dec 2014
Fighting Sample Degeneracy and Impoverishment in Particle Filters: A Review of Intelligent Approaches Tiancheng Li Shudong Sun T. Sattar J. Corchado 110 228 0 12 Aug 2013
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 191 4,315 0 18 Nov 2011