Alistair Shilton
11 papers · 2017–2023 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24)
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(9)
Mathematics & Optimization
(6)
Optimization
(6)
Bayesian & Probabilistic
(3)
Core Methods
(3)
Learning Types
(3)
Artificial Intelligence
(2)
Computer Vision
(1)
Deep Learning
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
bayesian optimization
(7)
gaussian process
(4)
regret bound
(3)
bayesian optimisation
(3)
acquisition function
(3)
kernel methods
(3)
transfer learning
(2)
hyperparameter optimization
(2)
support vector machine
(2)
hyperparameter tuning
(2)
multi-objective optimization
(2)
sequential learning
(1)
neural network theory
(1)
kernel selection
(1)
multi-class classification
(1)
gradient descent
(1)
kernel learning
(1)
reproducing kernel hilbert space
(1)
reproducing kernel banach space
(1)
regularized risk minimization
(1)
Papers
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
ICML 2023
Human-AI Collaborative Bayesian Optimisation
NeurIPS 2022
TRF: Learning Kernels with Tuned Random Features
AAAI 2022
Kernel Functional Optimisation
NeurIPS 2021
Accelerated Bayesian Optimisation through Weight-Prior Tuning
AISTATS 2020
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs
AAAI 2020
Multiclass Anomaly Detector: the CS++ Support Vector Machine
JMLR 2020
Multi-objective Bayesian optimisation with preferences over objectives
NeurIPS 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