Artem Artemev
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Bayesian image classification with deep convolutional Gaussian processes
V Dutordoir, M Wilk, A Artemev, J Hensman
International Conference on Artificial Intelligence and Statistics, 1529-1539, 2020
17*2020
A framework for interdomain and multioutput Gaussian processes
M van der Wilk, V Dutordoir, ST John, A Artemev, V Adam, J Hensman
arXiv preprint arXiv:2003.01115, 2020
122020
Doubly Sparse Variational Gaussian Processes
V Adam, S Eleftheriadis, N Durrande, A Artemev, J Hensman
The 23rd International Conference on Artificial Intelligence and Statistics, 2020
62020
Scalable Thompson Sampling using Sparse Gaussian Process Models
S Vakili, V Picheny, A Artemev
arXiv preprint arXiv:2006.05356, 2020
12020
Ordinal Bayesian Optimisation
V Picheny, S Vakili, A Artemev
arXiv preprint arXiv:1912.02493, 2019
12019
GPflux: A Library for Deep Gaussian Processes
V Dutordoir, H Salimbeni, E Hambro, J McLeod, F Leibfried, A Artemev, ...
arXiv preprint arXiv:2104.05674, 2021
2021
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
A Artemev, DR Burt, M van der Wilk
arXiv preprint arXiv:2102.08314, 2021
2021
Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation
V Picheny, V Dutordoir, A Artemev, N Durrande
arXiv preprint arXiv:2006.14376, 2020
2020
Variational Gaussian Process Models without Matrix Inverses
M van der Wilk, ST John, A Artemev, J Hensman
2nd Symposium on Advances in Approximate Bayesian Inference, 2019
2019
Placement Project: Sparse State inference for GPSSM and SDE latent models
V Adam, A Artemev
2019
A Framework for Interdomain and Multioutput Gaussian Processes Download PDF Open Website
M van der Wilk, V Dutordoir, ST John, A Artemev, V Adam, J Hensman
Doubly Sparse Variational Gaussian Processes Download PDF Open Website
V Adam, S Eleftheriadis, A Artemev, N Durrande, J Hensman
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