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Alistair Shilton

Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regime

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May 24, 2024
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Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties

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Feb 27, 2024
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PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks

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Feb 05, 2024
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BO-Muse: A human expert and AI teaming framework for accelerated experimental design

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Mar 03, 2023
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Gradient Descent in Neural Networks as Sequential Learning in RKBS

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Feb 01, 2023
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Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition

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Sep 08, 2020
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From deep to Shallow: Equivalent Forms of Deep Networks in Reproducing Kernel Krein Space and Indefinite Support Vector Machines

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Jul 15, 2020
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Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

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Nov 28, 2019
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Cost-aware Multi-objective Bayesian optimisation

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Sep 09, 2019
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Stable Bayesian Optimisation via Direct Stability Quantification

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Feb 21, 2019
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