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User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient

29 September 2017

Papers citing "User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient"

50 / 133 papers shown

Title
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures Nina Vesseron Louis Béthune Marco Cuturi 132 0 0 13 Mar 2025
Random Reshuffling for Stochastic Gradient Langevin Dynamics Luke Shaw Peter A. Whalley 177 3 0 28 Jan 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo Luiz F. O. Chamon Mohammad Reza Karimi Anna Korba 89 3 0 08 Jan 2025
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics Daniel Paulin Peter Whalley Neil K. Chada Benedict Leimkuhler BDL 115 4 0 14 Oct 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 65 2 0 19 Mar 2024
On a Neural Implementation of Brenier's Polar Factorization Nina Vesseron Marco Cuturi 119 2 0 05 Mar 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion Ye He Kevin Rojas Molei Tao DiffM 116 11 0 27 Feb 2024
Parallelized Midpoint Randomization for Langevin Monte Carlo Lu Yu A. Dalalyan 75 7 0 22 Feb 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo Haoyang Zheng Wei Deng Christian Moya Guang Lin 94 6 0 22 Jan 2024
Restart Sampling for Improving Generative Processes Yilun Xu Mingyang Deng Xiang Cheng Yonglong Tian Ziming Liu Tommi Jaakkola DiffM VLM 110 56 0 26 Jun 2023
Learning Rate Free Sampling in Constrained Domains Louis Sharrock Lester W. Mackey Christopher Nemeth 78 2 0 24 May 2023
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction Francesco Pedrotti J. Maas Marco Mondelli DiffM 111 15 0 23 May 2023
Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials Ziruo Cai Jinglai Li Xiaoqun Zhang 31 1 0 10 Apr 2023
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation Ö. Deniz Akyildiz F. R. Crucinio Mark Girolami Tim Johnston Sotirios Sabanis 136 13 0 23 Mar 2023
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression Avetik G. Karagulyan Peter Richtárik FedML 64 6 0 08 Mar 2023
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity -- the Strongly Convex Case Tim Johnston Iosif Lytras Sotirios Sabanis 79 9 0 19 Jan 2023
Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions Marelys Crespo Navas S. Gadat X. Gendre 80 0 0 08 Jan 2023
Fast Replica Exchange Stochastic Gradient Langevin Dynamics Guanxun Li Guang Lin Zecheng Zhang Quan Zhou 437 4 0 05 Jan 2023
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models Xinyu Zhang Cheng Li 69 0 0 18 Dec 2022
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 111 7 0 31 Oct 2022
Preferential Subsampling for Stochastic Gradient Langevin Dynamics Srshti Putcha Christopher Nemeth Paul Fearnhead 50 0 0 28 Oct 2022
$Langevin dynamics based algorithm e-TH$\varepsilon$O POULA for stochastic optimization problems with discontinuous stochastic gradient$ Langevin dynamics based algorithm e-TH $\varepsilon$ O POULA for stochastic optimization problems with discontinuous stochastic gradient Dongjae Lim Ariel Neufeld Sotirios Sabanis Ying Zhang 66 7 0 24 Oct 2022
Improved Stein Variational Gradient Descent with Importance Weights Lukang Sun Peter Richtárik 79 3 0 02 Oct 2022
A sharp uniform-in-time error estimate for Stochastic Gradient Langevin Dynamics Lei Li Yuliang Wang 95 11 0 19 Jul 2022
Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting Ariel Neufeld Matthew Ng Cheng En Ying Zhang 88 12 0 06 Jul 2022
Langevin Monte Carlo for Contextual Bandits Pan Xu Hongkai Zheng Eric Mazumdar Kamyar Azizzadenesheli Anima Anandkumar 85 28 0 22 Jun 2022
Low-Precision Stochastic Gradient Langevin Dynamics Ruqi Zhang A. Wilson Chris De Sa BDL 63 14 0 20 Jun 2022
Convergence for score-based generative modeling with polynomial complexity Holden Lee Jianfeng Lu Yixin Tan DiffM 80 140 0 13 Jun 2022
Concentration analysis of multivariate elliptic diffusion processes Cathrine Aeckerle-Willems Claudia Strauch Lukas Trottner 98 1 0 07 Jun 2022
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition Lukang Sun Avetik G. Karagulyan Peter Richtárik 88 19 0 01 Jun 2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo L. Riou-Durand Jure Vogrinc 90 15 0 26 Feb 2022
Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo Krishnakumar Balasubramanian Sinho Chewi Murat A. Erdogdu Adil Salim Matthew Shunshi Zhang 108 65 0 10 Feb 2022
HMC and underdamped Langevin united in the unadjusted convex smooth case Nicolai Gouraud Pierre Le Bris Adrien Majka Pierre Monmarché 88 12 0 02 Feb 2022
Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm Ye He Krishnakumar Balasubramanian Murat A. Erdogdu 83 5 0 20 Jan 2022
Unadjusted Langevin algorithm for sampling a mixture of weakly smooth potentials D. Nguyen 58 5 0 17 Dec 2021
Time-independent Generalization Bounds for SGLD in Non-convex Settings Tyler Farghly Patrick Rebeschini 99 24 0 25 Nov 2021
Estimating High Order Gradients of the Data Distribution by Denoising Chenlin Meng Yang Song Wenzhe Li Stefano Ermon DiffM 85 46 0 08 Nov 2021
Statistical Finite Elements via Langevin Dynamics Ömer Deniz Akyildiz Connor Duffin Sotirios Sabanis Mark Girolami 82 11 0 21 Oct 2021
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint Y. Freund Yi-An Ma Tong Zhang 72 16 0 05 Oct 2021
Batch Normalization Preconditioning for Neural Network Training Susanna Lange Kyle E. Helfrich Qiang Ye 64 9 0 02 Aug 2021
Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function Dongjae Lim Ariel Neufeld Sotirios Sabanis Ying Zhang 80 20 0 19 Jul 2021
Data-informed Deep Optimization Lulu Zhang Z. Xu Yaoyu Zhang AI4CE 62 3 0 17 Jul 2021
Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity Yuling Jiao Lican Kang Yanyan Liu Youzhou Zhou OT 50 6 0 10 Jul 2021
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity Jian Huang Yuling Jiao Lican Kang Xu Liao Jin Liu Yanyan Liu 98 27 0 21 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 131 40 0 16 Jun 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs Vincent Plassier Maxime Vono Alain Durmus Eric Moulines 73 17 0 11 Jun 2021
QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning Maxime Vono Vincent Plassier Alain Durmus Aymeric Dieuleveut Eric Moulines FedML 93 36 0 01 Jun 2021
The query complexity of sampling from strongly log-concave distributions in one dimension Sinho Chewi P. Gerber Chen Lu Thibaut Le Gouic Philippe Rigollet 87 21 0 29 May 2021
Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations J. Sanz-Serna K. Zygalakis 71 23 0 26 Apr 2021
Discrete sticky couplings of functional autoregressive processes Alain Durmus A. Eberle Aurélien Enfroy Arnaud Guillin Pierre Monmarché 46 7 0 14 Apr 2021