Ben Anson

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Laurence Aitchison

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Publications

2025
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  - journals/corr/abs-2502-17405
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Edward Milsom, Ben Anson, Laurence Aitchison:
Function-Space Learning Rates. CoRR abs/2502.17405 (2025)
2024
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  - conf/iclr/MilsomAA24
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Edward Milsom, Ben Anson, Laurence Aitchison:
Convolutional Deep Kernel Machines. ICLR 2024
[c3]
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Edward Milsom, Ben Anson, Laurence Aitchison:
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines. NeurIPS 2024
[i4]
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  - journals/corr/abs-2402-06525
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Ben Anson, Edward Milsom, Laurence Aitchison:
Flexible infinite-width graph convolutional networks and the importance of representation learning. CoRR abs/2402.06525 (2024)
[i3]
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  - journals/corr/abs-2410-06171
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Edward Milsom, Ben Anson, Laurence Aitchison:
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines. CoRR abs/2410.06171 (2024)
2023
[c2]
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  - conf/icml/YangRMASA23
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Adam X. Yang, Maxime Robeyns, Edward Milsom, Ben Anson, Nandi Schoots, Laurence Aitchison:
A theory of representation learning gives a deep generalisation of kernel methods. ICML 2023: 39380-39415
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  - conf/uai/OberAMA23
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Sebastian W. Ober, Ben Anson, Edward Milsom, Laurence Aitchison:
An improved variational approximate posterior for the deep Wishart process. UAI 2023: 1555-1563
[i2]
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  - journals/corr/abs-2305-14454
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Sebastian W. Ober, Ben Anson, Edward Milsom, Laurence Aitchison:
An Improved Variational Approximate Posterior for the Deep Wishart Process. CoRR abs/2305.14454 (2023)
[i1]
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  - journals/corr/abs-2309-09814
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Edward Milsom, Ben Anson, Laurence Aitchison:
Convolutional Deep Kernel Machines. CoRR abs/2309.09814 (2023)

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