Structured Stochastic Gradient MCMC

v1v2v3v4 (latest)

Structured Stochastic Gradient MCMC

19 July 2021

Antonios Alexos

ArXiv (abs)PDF HTML

Papers citing "Structured Stochastic Gradient MCMC"

10 / 10 papers shown

Title
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models Ngoc-Quan Pham Tuan Truong Quyen Tran T. H. Nguyen Dinh Q. Phung T. Le 34 1 0 08 Jun 2025
Functional Stochastic Gradient MCMC for Bayesian Neural Networks Mengjing Wu Junyu Xuan Jie Lu BDL 55 0 0 25 Sep 2024
Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling Jian Xu Shian Du Junmei Yang Qianli Ma Delu Zeng BDL 57 0 0 13 Aug 2024
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference Jian Xu Delu Zeng John Paisley DiffM 83 1 0 24 Jul 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 178 2 0 31 May 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 133 35 0 01 Feb 2024
Statistical guarantees for stochastic Metropolis-Hastings S. Bieringer Gregor Kasieczka Maximilian F. Steffen Mathias Trabs 87 1 0 13 Oct 2023
On double-descent in uncertainty quantification in overparametrized models Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová UQCV 151 14 0 23 Oct 2022
Approximate blocked Gibbs sampling for Bayesian neural networks Theodore Papamarkou BDL 462 3 0 24 Aug 2022
A PAC-Bayes oracle inequality for sparse neural networks Maximilian F. Steffen Mathias Trabs UQCV 65 2 0 26 Apr 2022