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 | 12 | 2020 |
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 | 6 | 2020 |
Scalable Thompson Sampling using Sparse Gaussian Process Models S Vakili, V Picheny, A Artemev arXiv preprint arXiv:2006.05356, 2020 | 1 | 2020 |
Ordinal Bayesian Optimisation V Picheny, S Vakili, A Artemev arXiv preprint arXiv:1912.02493, 2019 | 1 | 2019 |
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 | | |