Pre-training helps Bayesian optimization too

Pre-training helps Bayesian optimization too

7 July 2022

Zelda E. Mariet

Justin Gilmer

Zoubin Ghahramani

Papers citing "Pre-training helps Bayesian optimization too"

13 / 13 papers shown

Title
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 Ryan Turner David Eriksson M. McCourt J. Kiili Eero Laaksonen Zhen Xu Isabelle M Guyon BDL 52 298 0 20 Apr 2021
Training independent subnetworks for robust prediction Marton Havasi Rodolphe Jenatton Stanislav Fort Jeremiah Zhe Liu Jasper Snoek Balaji Lakshminarayanan Andrew M. Dai Dustin Tran UQCV OOD 83 211 0 13 Oct 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 162 447 0 17 Jun 2020
A Bayesian/Information Theoretic Model of Bias Learning Jonathan Baxter 32 25 0 14 Nov 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Zi Wang Beomjoon Kim L. Kaelbling 59 54 0 23 Nov 2018
Learning to guide task and motion planning using score-space representation Beomjoon Kim Zi Wang L. Kaelbling Tomas Lozano-Perez 51 90 0 26 Jul 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 53 135 0 05 Jun 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 46 214 0 05 Jun 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 64 124 0 06 Mar 2017
Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems Zi Wang Stefanie Jegelka L. Kaelbling Tomás Lozano-Pérez 54 17 0 26 Jul 2016
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting N. Hansen A. Auger Raymond Ros Olaf Mersmann Tea Tušar D. Brockhoff 55 424 0 29 Mar 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 217 2,321 0 21 Mar 2016
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 340 7,934 0 13 Jun 2012