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. 1112.1217
  4. Cited By
Entropy Search for Information-Efficient Global Optimization

Entropy Search for Information-Efficient Global Optimization

6 December 2011
Philipp Hennig
Christian J. Schuler
ArXivPDFHTML

Papers citing "Entropy Search for Information-Efficient Global Optimization"

13 / 13 papers shown
Title
Co-Learning Bayesian Optimization
Co-Learning Bayesian Optimization
Zhendong Guo
Yew-Soon Ong
Tiantian He
Haitao Liu
120
2
0
23 Jan 2025
Information-theoretic Bayesian Optimization: Survey and Tutorial
Information-theoretic Bayesian Optimization: Survey and Tutorial
Eduardo C. Garrido-Merchán
113
1
0
22 Jan 2025
Distributed Thompson sampling under constrained communication
Distributed Thompson sampling under constrained communication
Saba Zerefa
Zhaolin Ren
Haitong Ma
Na Li
71
1
0
03 Jan 2025
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
Taiwo A. Adebiyi
Bach Do
Ruda Zhang
152
2
0
29 Oct 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Dawei Zhan
64
5
0
18 Apr 2024
Variational Entropy Search for Adjusting Expected Improvement
Variational Entropy Search for Adjusting Expected Improvement
Nuojin Cheng
Stephen Becker
41
1
0
17 Feb 2024
Corruption-Tolerant Gaussian Process Bandit Optimization
Corruption-Tolerant Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
58
52
0
04 Mar 2020
Tight Regret Bounds for Bayesian Optimization in One Dimension
Tight Regret Bounds for Bayesian Optimization in One Dimension
Jonathan Scarlett
94
27
0
30 May 2018
Expectation Propagation for approximate Bayesian inference
Expectation Propagation for approximate Bayesian inference
T. Minka
113
1,906
0
10 Jan 2013
Gaussian Probabilities and Expectation Propagation
Gaussian Probabilities and Expectation Propagation
John P. Cunningham
Philipp Hennig
Simon Lacoste-Julien
68
41
0
29 Nov 2011
Optimal Reinforcement Learning for Gaussian Systems
Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
63
19
0
04 Jun 2011
Slice Sampling with Adaptive Multivariate Steps: The Shrinking-Rank
  Method
Slice Sampling with Adaptive Multivariate Steps: The Shrinking-Rank Method
Madeleine B. Thompson
Radford M. Neal
77
11
0
22 Nov 2010
Slice sampling covariance hyperparameters of latent Gaussian models
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray
Ryan P. Adams
96
232
0
04 Jun 2010
1