Informative Bayesian Neural Network Priors for Weak Signals

Informative Bayesian Neural Network Priors for Weak Signals

24 February 2020

Pekka Marttinen

Papers citing "Informative Bayesian Neural Network Priors for Weak Signals"

14 / 14 papers shown

Title
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 77 127 0 14 May 2021
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 61 383 0 29 Apr 2021
Bayesian Neural Network Priors Revisited Vincent Fortuin Adrià Garriga-Alonso Sebastian W. Ober F. Wenzel Gunnar Rätsch Richard Turner Mark van der Wilk Laurence Aitchison BDL UQCV 84 140 0 12 Feb 2021
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael W. Dusenberry Ghassen Jerfel Yeming Wen Yi-An Ma Jasper Snoek Katherine A. Heller Balaji Lakshminarayanan Dustin Tran UQCV BDL 47 209 0 14 May 2020
Uncertainty Quantification for Sparse Deep Learning Yuexi Wang Veronika Rockova BDL UQCV 57 31 0 26 Feb 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks J. Swiatkowski Kevin Roth Bastiaan S. Veeling Linh-Tam Tran Joshua V. Dillon Jasper Snoek Stephan Mandt Tim Salimans Rodolphe Jenatton Sebastian Nowozin BDL 41 45 0 07 Feb 2020
Posterior Concentration for Sparse Deep Learning Nicholas G. Polson Veronika Rockova UQCV BDL 121 88 0 24 Mar 2018
Accurate Genomic Prediction Of Human Height L. Lello Steven G. Avery L. Tellier A. Vazquez G. Campos S. Hsu 21 143 0 19 Sep 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 107 479 0 24 May 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 111 2,523 0 02 Nov 2016
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 284 7,361 0 12 Sep 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 156 1,500 0 08 Jun 2015
Dirichlet-Laplace priors for optimal shrinkage A. Bhattacharya D. Pati Natesh S. Pillai David B. Dunson 79 440 0 21 Jan 2014
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 199 2,616 0 29 Jun 2012