AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models

18 October 2016

Papers citing "AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models"

6 / 6 papers shown

Title
Gaussian Process-Gated Hierarchical Mixtures of Experts Yuhao Liu Marzieh Ajirak P. Djuric MoE 16 1 0 09 Feb 2023
Spatio-Temporal Variational Gaussian Processes Oliver Hamelijnck William J. Wilkinson Niki A. Loppi Arno Solin Theodoros Damoulas AI4TS 11 31 0 02 Nov 2021
Bayesian optimization of distributed neurodynamical controller models for spatial navigation Armin Hadzic Grace M. Hwang Kechen Zhang Kevin M. Schultz J. Monaco 19 5 0 31 Oct 2021
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 22 68 0 06 Jun 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 19 1,068 0 01 Nov 2017
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 14 141 0 14 Oct 2016