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Bayesian Quantile and Expectile Optimisation

Bayesian Quantile and Expectile Optimisation

12 January 2020
Victor Picheny
Henry B. Moss
Léonard Torossian
N. Durrande
ArXivPDFHTML

Papers citing "Bayesian Quantile and Expectile Optimisation"

7 / 7 papers shown
Title
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
Adam X. Yang
Laurence Aitchison
Henry B. Moss
29
4
0
22 Feb 2023
Inducing Point Allocation for Sparse Gaussian Processes in
  High-Throughput Bayesian Optimisation
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
Henry B. Moss
Sebastian W. Ober
Victor Picheny
30
24
0
24 Jan 2023
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning
Paul E. Chang
Prakhar Verma
S. T. John
Victor Picheny
Henry B. Moss
Arno Solin
GP
25
6
0
02 Nov 2022
Risk-aware linear bandits with convex loss
Risk-aware linear bandits with convex loss
Patrick Saux
Odalric-Ambrym Maillard
19
2
0
15 Sep 2022
Information-theoretic Inducing Point Placement for High-throughput
  Bayesian Optimisation
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation
Henry B. Moss
Sebastian W. Ober
Victor Picheny
15
4
0
06 Jun 2022
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
An SVM-like Approach for Expectile Regression
An SVM-like Approach for Expectile Regression
M. Farooq
Ingo Steinwart
VLM
34
39
0
14 Jul 2015
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