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Victor Picheny

MIAT INRA

Combining additivity and active subspaces for high-dimensional Gaussian process modeling

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Feb 06, 2024
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Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes

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Apr 27, 2023
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Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow

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Feb 16, 2023
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Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation

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Jan 24, 2023
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Fantasizing with Dual GPs in Bayesian Optimization and Active Learning

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Nov 02, 2022
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A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design

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Jun 27, 2022
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Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation

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Jun 06, 2022
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Revisiting Bayesian Optimization in the light of the COCO benchmark

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Mar 30, 2021
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TREGO: a Trust-Region Framework for Efficient Global Optimization

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Feb 02, 2021
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On Information Gain and Regret Bounds in Gaussian Process Bandits

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Oct 09, 2020
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