Bayesian Optimisation over Multiple Continuous and Categorical Inputs

20 June 2019

Papers citing "Bayesian Optimisation over Multiple Continuous and Categorical Inputs"

22 / 22 papers shown

Title
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 78 1 0 24 Jun 2024
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs Dang Nguyen Sunil R. Gupta Santu Rana A. Shilton Svetha Venkatesh 77 50 0 28 Nov 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 48 51 0 02 Jul 2019
Knowing The What But Not The Where in Bayesian Optimization Vu Nguyen Michael A. Osborne 33 38 0 07 May 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 39 678 0 25 Feb 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation A. Alvi Binxin Ru Jan-Peter Calliess Stephen J. Roberts Michael A. Osborne 31 44 0 29 Jan 2019
A Tutorial on Bayesian Optimization P. Frazier GP 75 1,759 0 08 Jul 2018
Fast Information-theoretic Bayesian Optimisation Binxin Ru Mark McLeod Diego Granziol Michael A. Osborne 30 49 0 02 Nov 2017
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes E.C. Garrido-Merchán Daniel Hernández-Lobato 75 228 0 12 Jun 2017
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization Jian Wu P. Frazier ODL BDL 26 223 0 14 Jun 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 254 37,815 0 09 Mar 2016
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 44 159 0 23 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 431 9,233 0 06 Jun 2015
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 46 353 0 29 May 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models Kirthevasan Kandasamy J. Schneider Barnabás Póczós 34 350 0 05 Mar 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints José Miguel Hernández-Lobato M. Gelbart Matthew W. Hoffman Ryan P. Adams Zoubin Ghahramani 37 153 0 18 Feb 2015
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration E. Contal David Buffoni Alexandre Robicquet Nicolas Vayatis 44 213 0 19 Apr 2013
Structure Discovery in Nonparametric Regression through Compositional Kernel Search David Duvenaud J. Lloyd Roger C. Grosse J. Tenenbaum Zoubin Ghahramani 45 509 0 20 Feb 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 263 7,883 0 13 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 87 671 0 06 Dec 2011
Revisiting k-means: New Algorithms via Bayesian Nonparametrics Brian Kulis Michael I. Jordan 56 390 0 02 Nov 2011
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 102 2,437 0 12 Dec 2010