Stochastic Gradient Hamiltonian Monte Carlo

Stochastic Gradient Hamiltonian Monte Carlo

17 February 2014

Carlos Guestrin

Papers citing "Stochastic Gradient Hamiltonian Monte Carlo"

18 / 18 papers shown

Title
Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling Xinxing Shi Xiaoyu Jiang Mauricio A. Álvarez BDL 64 0 0 22 May 2025
JaxSGMC: Modular stochastic gradient MCMC in JAX Stephan Thaler Paul Fuchs Ana Cukarska Julija Zavadlav BDL 128 2 0 16 May 2025
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles Andrew Millard Zheng Zhao Joshua Murphy Simon Maskell UQCV BDL 60 0 0 16 May 2025
A Langevin sampling algorithm inspired by the Adam optimizer Benedict Leimkuhler René Lohmann Peter Whalley 106 0 0 26 Apr 2025
3D Student Splatting and Scooping Jialin Zhu Jiangbei Yue Feixiang He He Wang 3DGS 92 0 0 13 Mar 2025
Single-Step Consistent Diffusion Samplers Pascal Jutras-Dubé Patrick Pynadath Ruqi Zhang DiffM 106 0 0 17 Feb 2025
Random Reshuffling for Stochastic Gradient Langevin Dynamics Luke Shaw Peter A. Whalley 130 3 0 28 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 84 0 0 03 Jan 2025
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics Daniel Paulin Peter Whalley Neil K. Chada Benedict Leimkuhler BDL 70 4 0 14 Oct 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 92 1 0 31 May 2024
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks Michelle Halbheer Dominik J. Mühlematter Alexander Becker Dominik Narnhofer Helge Aasen Konrad Schindler Mehmet Özgür Türkoglu UQCV 70 2 0 23 May 2024
Quantum Langevin Dynamics for Optimization Zherui Chen Yuchen Lu Hao Wang Yizhou Liu Tongyang Li AI4CE 66 11 0 27 Nov 2023
An Adaptive Empirical Bayesian Method for Sparse Deep Learning Wei Deng Xiao Zhang F. Liang Guang Lin BDL 91 44 0 23 Oct 2019
Parallel Streaming Wasserstein Barycenters Matthew Staib Sebastian Claici Justin Solomon Stefanie Jegelka 29 89 0 21 May 2017
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget Anoop Korattikara Yutian Chen Max Welling 60 243 0 19 Apr 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 204 2,616 0 29 Jun 2012
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring S. Ahn Anoop Korattikara Balan Max Welling 62 305 0 27 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 139 4,275 0 18 Nov 2011