ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1406.4625
  4. Cited By
An Entropy Search Portfolio for Bayesian Optimization
v1v2v3v4 (latest)

An Entropy Search Portfolio for Bayesian Optimization

18 June 2014
Bobak Shahriari
Ziyun Wang
Matthew W. Hoffman
Alexandre Bouchard-Côté
Nando de Freitas
ArXiv (abs)PDFHTML

Papers citing "An Entropy Search Portfolio for Bayesian Optimization"

17 / 17 papers shown
Title
Robust Bayesian optimization with reinforcement learned acquisition
  functions
Robust Bayesian optimization with reinforcement learned acquisition functions
Zijing Liu
Xiyao Qu
Xuejun Liu
Hongqiang Lyu
51
2
0
02 Oct 2022
Surrogate modeling for Bayesian optimization beyond a single Gaussian
  process
Surrogate modeling for Bayesian optimization beyond a single Gaussian process
Qin Lu
Konstantinos D. Polyzos
Bingcong Li
G. Giannakis
GP
72
23
0
27 May 2022
An Efficient Batch Constrained Bayesian Optimization Approach for Analog
  Circuit Synthesis via Multi-objective Acquisition Ensemble
An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble
Shuhan Zhang
Fan Yang
Changhao Yan
Dian Zhou
Xuan Zeng
75
67
0
28 Jun 2021
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
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
123
80
0
07 Dec 2020
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition
  functions for constrained Bayesian optimization on high-performing computing
  architecture
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture
Anh Tran
J. Furlan
T. Wildey
S. McCann
K. Pagalthivarthi
R. Visintainer
75
9
0
20 Mar 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Hyper-Parameter Optimization: A Review of Algorithms and Applications
Tong Yu
Hong Zhu
AAML
96
542
0
12 Mar 2020
Bayesian Optimization using Deep Gaussian Processes
Bayesian Optimization using Deep Gaussian Processes
Ali Hebbal
Loïc Brevault
M. Balesdent
El-Ghazali Talbi
N. Melab
GP
95
70
0
07 May 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust
  Bayesian Optimisation with Dragonfly
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy
Karun Raju Vysyaraju
Willie Neiswanger
Biswajit Paria
Christopher R. Collins
J. Schneider
Barnabás Póczós
Eric Xing
95
176
0
15 Mar 2019
Robust Super-Level Set Estimation using Gaussian Processes
Robust Super-Level Set Estimation using Gaussian Processes
Andrea Zanette
Junzi Zhang
Mykel J. Kochenderfer
72
32
0
25 Nov 2018
Combining Bayesian Optimization and Lipschitz Optimization
Combining Bayesian Optimization and Lipschitz Optimization
Mohamed Osama Ahmed
Sharan Vaswani
Mark Schmidt
61
22
0
10 Oct 2018
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
195
76
0
16 Sep 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated
  Exploration of Chemical Space
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
José Miguel Hernández-Lobato
James Requeima
Edward O. Pyzer-Knapp
Alán Aspuru-Guzik
81
185
0
06 Jun 2017
Metacontrol for Adaptive Imagination-Based Optimization
Metacontrol for Adaptive Imagination-Based Optimization
Jessica B. Hamrick
A. J. Ballard
Razvan Pascanu
Oriol Vinyals
N. Heess
Peter W. Battaglia
74
69
0
07 May 2017
A sequential Monte Carlo approach to Thompson sampling for Bayesian
  optimization
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization
Hildo Bijl
Thomas B. Schon
J. Wingerden
M. Verhaegen
226
25
0
01 Apr 2016
Minimum Regret Search for Single- and Multi-Task Optimization
Minimum Regret Search for Single- and Multi-Task Optimization
J. H. Metzen
61
20
0
02 Feb 2016
Active Contextual Entropy Search
Active Contextual Entropy Search
J. H. Metzen
67
9
0
13 Nov 2015
A Survey of Online Experiment Design with the Stochastic Multi-Armed
  Bandit
A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit
Giuseppe Burtini
Jason L. Loeppky
Ramon Lawrence
88
119
0
02 Oct 2015
1