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Fantasizing with Dual GPs in Bayesian Optimization and Active Learning

Fantasizing with Dual GPs in Bayesian Optimization and Active Learning

2 November 2022
Paul E. Chang
Prakhar Verma
S. T. John
Victor Picheny
Henry B. Moss
Arno Solin
    GP
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Papers citing "Fantasizing with Dual GPs in Bayesian Optimization and Active Learning"

5 / 5 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
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
14
4
0
22 Feb 2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with
  TensorFlow
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
Victor Picheny
Joel Berkeley
Henry B. Moss
Hrvoje Stojić
Uri Granta
...
Sergio Pascual-Diaz
Stratis Markou
Jixiang Qing
Nasrulloh Loka
Ivo Couckuyt
18
17
0
16 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
22
24
0
24 Jan 2023
GAUCHE: A Library for Gaussian Processes in Chemistry
GAUCHE: A Library for Gaussian Processes in Chemistry
Ryan-Rhys Griffiths
Leo Klarner
Henry B. Moss
Aditya Ravuri
Sang T. Truong
...
A. Lee
Bingqing Cheng
Alán Aspuru-Guzik
P. Schwaller
Jian Tang
GP
22
40
0
06 Dec 2022
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