Nonlinear MCMC for Bayesian Machine Learning

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Nonlinear MCMC for Bayesian Machine Learning

11 February 2022

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Papers citing "Nonlinear MCMC for Bayesian Machine Learning"

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Title
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020) R. Alizadehsani M. Roshanzamir Sadiq Hussain Abbas Khosravi Afsaneh Koohestani ... M. Panahiazar S. Nahavandi D. Srinivasan A. Atiya U. Acharya OOD 67 99 0 23 Aug 2020
High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin diffusion Pierre Monmarché 49 46 0 10 Jul 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 209 1,713 0 05 Dec 2019
Collective Proposal Distributions for Nonlinear MCMC samplers: Mean-Field Theory and Fast Implementation Grégoire Clarté A. Diez Jean Feydy 48 8 0 18 Sep 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 74 279 0 11 Feb 2019
Langevin-gradient parallel tempering for Bayesian neural learning Rohitash Chandra Konark Jain R. Deo Sally Cripps BDL 57 46 0 11 Nov 2018
Exponential Ergodicity of the Bouncy Particle Sampler George Deligiannidis Alexandre Bouchard-Côté Arnaud Doucet 76 49 0 12 May 2017
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 78 233 0 11 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,196 0 21 May 2015
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 150 1,167 0 31 Dec 2013
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 174 4,313 0 18 Nov 2011