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BOSH: Bayesian Optimization by Sampling Hierarchically

BOSH: Bayesian Optimization by Sampling Hierarchically

2 July 2020
Henry B. Moss
David S. Leslie
Paul Rayson
ArXivPDFHTML

Papers citing "BOSH: Bayesian Optimization by Sampling Hierarchically"

7 / 7 papers shown
Title
Memory-Based Dual Gaussian Processes for Sequential Learning
Memory-Based Dual Gaussian Processes for Sequential Learning
Paul E. Chang
Prakhar Verma
S. T. John
Arno Solin
Mohammad Emtiyaz Khan
GP
20
4
0
06 Jun 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
32
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
30
6
0
02 Nov 2022
Gaussian Process Molecule Property Prediction with FlowMO
Gaussian Process Molecule Property Prediction with FlowMO
Henry B. Moss
Ryan-Rhys Griffiths
21
23
0
02 Oct 2020
BOSS: Bayesian Optimization over String Spaces
BOSS: Bayesian Optimization over String Spaces
Henry B. Moss
Daniel Beck
Javier I. González
David S. Leslie
Paul Rayson
11
68
0
02 Oct 2020
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
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
1