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No-regret Algorithms for Multi-task Bayesian Optimization

No-regret Algorithms for Multi-task Bayesian Optimization

Sayak Ray Chowdhury
Aditya Gopalan
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Papers citing "No-regret Algorithms for Multi-task Bayesian Optimization"

6 / 6 papers shown
Title
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
Yao Shu
Jiongfeng Fang
Y. He
Fei Richard Yu
35
0
0
18 Feb 2024
Pseudo-Bayesian Optimization
Pseudo-Bayesian Optimization
Haoxian Chen
Henry Lam
34
2
0
15 Oct 2023
Multi-objective optimisation via the R2 utilities
Multi-objective optimisation via the R2 utilities
Ben Tu
N. Kantas
Robert M. Lee
B. Shafei
221
3
0
19 May 2023
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks
Mohamed Aziz Bhouri
M. Joly
Robert Yu
S. Sarkar
P. Perdikaris
BDL
UQCV
AI4CE
19
1
0
14 Feb 2023
Bayesian Optimization with High-Dimensional Outputs
Bayesian Optimization with High-Dimensional Outputs
Wesley J. Maddox
Maximilian Balandat
A. Wilson
E. Bakshy
UQCV
24
50
0
24 Jun 2021
Conditional mean embeddings as regressors - supplementary
Conditional mean embeddings as regressors - supplementary
Steffen Grunewalder
Guy Lever
Luca Baldassarre
Sam Patterson
Arthur Gretton
Massimiliano Pontil
85
143
0
21 May 2012