Edward Milsom
5 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Optimization & Theory
(4)
Architectures
(3)
Core Methods
(2)
Models
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Keywords
deep kernel machine
(3)
kernel methods
(3)
bayesian inference
(2)
variational inference
(2)
representation learning
(2)
convolutional neural network
(1)
kernel regularisation
(1)
deep gaussian process
(1)
convolutional architecture
(1)
neural network gaussian process
(1)
deep wishart process
(1)
bartlett decomposition
(1)
parameter tensor
(1)
stochastic kernel regularisation
(1)
inter-domain inducing point
(1)
flerm
(1)
function-space learning rates
(1)
layerwise function-space learning rates
(1)
neural network output function
(1)
image classification
(1)
Papers
Function-Space Learning Rates
ICML 2025
Convolutional Deep Kernel Machines
ICLR 2024
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
NeurIPS 2024
An improved variational approximate posterior for the deep Wishart process
UAI 2023
A theory of representation learning gives a deep generalisation of kernel methods
ICML 2023