Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning

1 October 2021

Patrick Shafto

Papers citing "Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning"

4 / 4 papers shown

Title
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems Anh Tong Jaesik Choi 16 2 0 19 Oct 2020
Benefits of depth in neural networks Matus Telgarsky 123 602 0 14 Feb 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 84 271 0 24 Feb 2014