Scalable Global Optimization via Local Bayesian Optimization

3 October 2019

Papers citing "Scalable Global Optimization via Local Bayesian Optimization"

33 / 233 papers shown

Title
Revisiting Bayesian Optimization in the light of the COCO benchmark Rodolphe Le Riche Victor Picheny 14 26 0 30 Mar 2021
Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations Carlos Ansótegui Meinolf Sellmann Tapan Shah Kevin Tierney 11 4 0 18 Mar 2021
A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models Jiaxin Zhang Sirui Bi Guannan Zhang 16 9 0 14 Mar 2021
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces David Eriksson M. Jankowiak 26 134 0 27 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 200 81 0 16 Feb 2021
Online hyperparameter optimization by real-time recurrent learning Daniel Jiwoong Im Cristina Savin Kyunghyun Cho 11 7 0 15 Feb 2021
Derivative-Free Reinforcement Learning: A Review Hong Qian Yang Yu OffRL 6 42 0 10 Feb 2021
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution Minfang Lu Shuai Ning Shuangrong Liu Fengyang Sun Bo Zhang Bo Yang Linshan Wang 23 4 0 07 Feb 2021
TREGO: a Trust-Region Framework for Efficient Global Optimization Youssef Diouane Victor Picheny Rodolophe Le Riche Alexandre Scotto Di Perrotolo 25 33 0 18 Jan 2021
CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage Kernels Jian Tan Niv Nayman Mengchang Wang 8 4 0 13 Jan 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models E. Han Ishank Arora Jonathan Scarlett TPM AI4CE 17 17 0 24 Dec 2020
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization Mikita Sazanovich A. Nikolskaya Yury Belousov A. Shpilman 9 14 0 18 Dec 2020
GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms Jiwei Liu Bojan Tunguz Gilberto Titericz 11 8 0 08 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 27 74 0 07 Dec 2020
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables Taehyeon Kim Jaeyeon Ahn Nakyil Kim Seyoung Yun 23 3 0 07 Dec 2020
Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics Jiaxin Zhang Congjie Wei Chenglin Wu AI4CE PINN 11 7 0 28 Nov 2020
Cautious Bayesian Optimization for Efficient and Scalable Policy Search Lukas P. Frohlich M. Zeilinger Edgar D. Klenske OffRL 17 13 0 18 Nov 2020
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient Hoang Tran Guannan Zhang 27 8 0 03 Nov 2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces Hung The Tran Sunil R. Gupta Santu Rana Huong Ha Svetha Venkatesh 21 6 0 05 Sep 2020
On the implementation of a global optimization method for mixed-variable problems G. Nannicini 9 19 0 04 Sep 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 27 126 0 01 Jul 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle J. Gardner 17 43 0 19 Jun 2020
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization Anton Dereventsov Clayton Webster Joseph Daws 6 10 0 18 Jun 2020
Scalable Thompson Sampling using Sparse Gaussian Process Models Sattar Vakili Henry B. Moss A. Artemev Vincent Dutordoir Victor Picheny 6 34 0 09 Jun 2020
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm Gongjin Lan Jakub M. Tomczak D. Roijers A. E. Eiben 82 79 0 04 May 2020
ENTMOOT: A Framework for Optimization over Ensemble Tree Models Alexander Thebelt Jan Kronqvist Miten Mistry Robert M. Lee Nathan Sudermann-Merx Ruth Misener 21 54 0 10 Mar 2020
Practical Bayesian Optimization of Objectives with Conditioning Variables Michael Pearce Janis Klaise Matthew J. Groves 10 1 0 23 Feb 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 25 95 0 20 Feb 2020
A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization Jiaxin Zhang Hoang Tran Dan Lu Guannan Zhang 11 17 0 07 Feb 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 71 109 0 31 Jan 2020
Bayesian Quantile and Expectile Optimisation Victor Picheny Henry B. Moss Léonard Torossian N. Durrande 6 21 0 12 Jan 2020
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 10 3 0 21 Oct 2019
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 40 34 0 06 Feb 2018