Generalized Laplace Approximation

Generalized Laplace Approximation

22 May 2024

Papers citing "Generalized Laplace Approximation"

11 / 11 papers shown

Title
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 170 311 0 28 Jun 2021
A statistical theory of cold posteriors in deep neural networks Laurence Aitchison UQCV BDL 41 69 0 13 Aug 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 77 625 0 14 Jul 2020
Estimating Model Uncertainty of Neural Networks in Sparse Information Form Jongseo Lee Matthias Humt Jianxiang Feng Rudolph Triebel BDL UQCV 64 46 0 20 Jun 2020
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 72 275 0 11 Feb 2019
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu Yuanzhi Li Yingyu Liang MLT 159 772 0 12 Nov 2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks S. Du Xiyu Zhai Barnabás Póczós Aarti Singh MLT ODL 179 1,269 0 04 Oct 2018
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data Yuanzhi Li Yingyu Liang MLT 185 653 0 03 Aug 2018
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 222 4,778 0 04 Jan 2016
A General Framework for Updating Belief Distributions Pier Giovanni Bissiri Chris Holmes S. Walker 172 476 0 27 Jun 2013
MCMC using Hamiltonian dynamics Radford M. Neal 288 3,276 0 09 Jun 2012