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

An Entropy Search Portfolio for Bayesian Optimization

18 June 2014
Bobak Shahriari
Ziyun Wang
Matthew W. Hoffman
Alexandre Bouchard-Coté
Nando de Freitas
ArXivPDFHTML

Papers citing "An Entropy Search Portfolio for Bayesian Optimization"

11 / 11 papers shown
Title
Transfer Learning for Bayesian Optimization: A Survey
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai
Yang Li
Yu Shen
Xinyi Zhang
Wentao Zhang
Bin Cui
BDL
39
29
0
12 Feb 2023
Robust Bayesian optimization with reinforcement learned acquisition
  functions
Robust Bayesian optimization with reinforcement learned acquisition functions
Zijing Liu
Xiyao Qu
Xuejun Liu
Hongqiang Lyu
8
2
0
02 Oct 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
25
65
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
27
74
0
07 Dec 2020
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
29
174
0
15 Mar 2019
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
39
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
33
177
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
24
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
11
25
0
01 Apr 2016
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
29
119
0
02 Oct 2015
Bayesian Multi-Scale Optimistic Optimization
Bayesian Multi-Scale Optimistic Optimization
Ziyun Wang
B. Shakibi
L. Jin
Nando de Freitas
80
95
0
27 Feb 2014
1