Alistair Shilton
11 papers · 2017–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (13)
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Academic Marathon
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(25)
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Cross-Pollinator
(13)
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Dynamic Duo
(10)
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Trend Setter
π₯
Unstoppable
(7)
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Century Club
(11)
Conferences
AISTATS (3)
NIPS (3)
AAAI (2)
ICML (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
bayesian optimization
(7)
gaussian process
(4)
acquisition function
(3)
bayesian optimisation
(3)
kernel methods
(3)
regret bound
(3)
transfer learning
(2)
hyperparameter optimization
(2)
multi-objective optimization
(2)
hyperparameter tuning
(2)
support vector machine
(2)
sequential learning
(1)
neural network theory
(1)
kernel selection
(1)
gradient descent
(1)
reproducing kernel hilbert space
(1)
kernel learning
(1)
regularized risk minimization
(1)
reproducing kernel banach space
(1)
global optimization
(1)
Papers
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
ICML 2023
TRF: Learning Kernels with Tuned Random Features
AAAI 2022
Human-AI Collaborative Bayesian Optimisation
NIPS 2022
Kernel Functional Optimisation
NIPS 2021
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs
AAAI 2020
Accelerated Bayesian Optimisation through Weight-Prior Tuning
AISTATS 2020
Multiclass Anomaly Detector: the CS++ Support Vector Machine
JMLR 2020
Multi-objective Bayesian optimisation with preferences over objectives
NIPS 2019
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization
AISTATS 2018
High Dimensional Bayesian Optimization using Dropout
IJCAI 2017
Regret Bounds for Transfer Learning in Bayesian Optimisation
AISTATS 2017