Mitigating the Effects of Non-Identifiability on Inference for Bayesian
Neural Networks with Latent Variables

Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables

1 November 2019

Finale Doshi-Velez

Papers citing "Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables"

9 / 9 papers shown

Title
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 81 1 0 30 Oct 2024
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 77 122 0 08 Jan 2019
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 103 208 0 09 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 344 4,700 0 15 Mar 2017
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 86 2,223 0 18 Nov 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 431 16,944 0 20 Dec 2013
Gaussian Process Regression with Heteroscedastic or Non-Gaussian Residuals Chunyi Wang Radford M. Neal 97 52 0 26 Dec 2012
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric Xing BDL 90 159 0 05 Oct 2012
MCMC using Hamiltonian dynamics Radford M. Neal 290 3,276 0 09 Jun 2012