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Alexander Terenin
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Efficiently Sampling Functions from Gaussian Process Posteriors
JT Wilson, V Borovitskiy, A Terenin, P Mostowsky, MP Deisenroth
International Conference on Machine Learning, 10292-10302, 2020
1792020
Matérn Gaussian Processes on Riemannian manifolds
V Borovitskiy, A Terenin, P Mostowsky, MP Deisenroth
Advances in Neural Information Processing Systems, 2020
1432020
Matérn Gaussian Processes on Graphs
V Borovitskiy, I Azangulov, A Terenin, P Mostowsky, MP Deisenroth, ...
Artificial Intelligence and Statistics, 2021
1062021
Variational Integrator Networks for Physically Structured Embeddings
S Saemundsson, A Terenin, K Hofmann, MP Deisenroth
Artificial Intelligence and Statistics, 3078-3087, 2020
802020
Asynchronous Gibbs sampling
A Terenin, D Simpson, D Draper
Artificial Intelligence and Statistics, 144-154, 2020
68*2020
Pathwise Conditioning of Gaussian Processes
JT Wilson, V Borovitskiy, A Terenin, P Mostowsky, MP Deisenroth
Journal of Machine Learning Research, 2021
662021
GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model
A Terenin, S Dong, D Draper
Statistics and Computing 29, 301-310, 2019
56*2019
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
N Jaquier, V Borovitskiy, A Smolensky, A Terenin, T Asfour, L Rozo
Conference on Robot Learning, 2021
412021
Vector-valued Gaussian processes on Riemannian manifolds via gauge independent projected kernels
M Hutchinson, A Terenin, V Borovitskiy, S Takao, Y Teh, M Deisenroth
Advances in Neural Information Processing Systems 34, 17160-17169, 2021
272021
Learning Contact Dynamics using Physically Structured Neural Networks
A Hochlehnert, A Terenin, S Sæmundsson, MP Deisenroth
Artificial Intelligence and Statistics, 2021
252021
Stationary kernels and Gaussian processes on Lie groups and their homogeneous spaces I: the compact case
I Azangulov, A Smolensky, A Terenin, V Borovitskiy
Journal of Machine Learning Research, 2024
222024
Aligning Time Series on Incomparable Spaces
S Cohen, G Luise, A Terenin, B Amos, MP Deisenroth
Artificial Intelligence and Statistics, 2021
222021
Pólya Urn Latent Dirichlet Allocation: a doubly sparse massively parallel sampler
A Terenin, M Magnusson, L Jonsson, D Draper
IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (7), 1709-1719, 2019
222019
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
JA Lin, J Antorán, S Padhy, D Janz, JM Hernández-Lobato, A Terenin
Advances in Neural Information Processing Systems, 2023
202023
Sliced Multi-Marginal Optimal Transport
S Cohen, A Terenin, Y Pitcan, B Amos, MP Deisenroth, KSS Kumar
NeurIPS Workshop on Optimal Transport and Machine Learning, 2021
142021
A noninformative prior on a space of distribution functions
A Terenin, D Draper
Entropy 19 (8), 391, 2017
132017
The Cambridge Law Corpus: A Dataset for Legal AI Research
A Östling, H Sargeant, H Xie, L Bull, A Terenin, L Jonsson, M Magnusson, ...
Advances in Neural Information Processing Systems, 2024
122024
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
P Rosa, V Borovitskiy, A Terenin, J Rousseau
Advances in Neural Information Processing Systems, 2023
82023
Stochastic Gradient Descent for Gaussian Processes Done Right
JA Lin, S Padhy, J Antorán, A Tripp, A Terenin, C Szepesvári, ...
International Conference for Learning Representations, 2024
72024
Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
A Terenin
PhD Thesis, Imperial College London, 2022
52022
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Artikler 1–20