Članki z zahtevami za javni dostop - Arthur GrettonVeč o tem
Na voljo nekje: 35
A kernel two-sample test
A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola
The Journal of Machine Learning Research 13 (1), 723-773, 2012
Zahteve: Austrian Science Fund
Inferring spike trains from local field potentials
MJ Rasch, A Gretton, Y Murayama, W Maass, NK Logothetis
Journal of neurophysiology 99 (3), 1461-1476, 2008
Zahteve: Austrian Science Fund
Learning deep kernels for non-parametric two-sample tests
F Liu, W Xu, J Lu, G Zhang, A Gretton, DJ Sutherland
International conference on machine learning, 6316-6326, 2020
Zahteve: Australian Research Council
Kernel Bayes' rule: Bayesian inference with positive definite kernels
K Fukumizu, L Song, A Gretton
The Journal of Machine Learning Research 14 (1), 3753-3783, 2013
Zahteve: US National Institutes of Health
Learning theory for distribution regression
Z Szabó, BK Sriperumbudur, B Póczos, A Gretton
Journal of Machine Learning Research 17 (152), 1-40, 2016
Zahteve: US National Science Foundation, US Department of Energy
Large-scale kernel methods for independence testing
Q Zhang, S Filippi, A Gretton, D Sejdinovic
Statistics and Computing 28, 113-130, 2018
Zahteve: UK Engineering and Physical Sciences Research Council
Stein’s method meets computational statistics: A review of some recent developments
A Anastasiou, A Barp, FX Briol, B Ebner, RE Gaunt, F Ghaderinezhad, ...
Statistical Science 38 (1), 120-139, 2023
Zahteve: US National Science Foundation, National Fund for Scientific Research …
Self-supervised learning with kernel dependence maximization
Y Li, R Pogodin, DJ Sutherland, A Gretton
Advances in Neural Information Processing Systems 34, 15543-15556, 2021
Zahteve: Natural Sciences and Engineering Research Council of Canada, Wellcome Trust
Proximal causal learning with kernels: Two-stage estimation and moment restriction
A Mastouri, Y Zhu, L Gultchin, A Korba, R Silva, M Kusner, A Gretton, ...
International Conference on Machine Learning, 7512-7523, 2021
Zahteve: US Department of Defense, UK Engineering and Physical Sciences Research Council
MMD aggregated two-sample test
A Schrab, I Kim, M Albert, B Laurent, B Guedj, A Gretton
Journal of Machine Learning Research 24 (194), 1-81, 2023
Zahteve: US Department of Defense, UK Engineering and Physical Sciences Research …
Kernel mean shrinkage estimators
K Mu, B Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf
Journal of Machine Learning Research 17 (48), 1-41, 2016
Zahteve: National Natural Science Foundation of China
Exponential family estimation via adversarial dynamics embedding
B Dai, Z Liu, H Dai, N He, A Gretton, L Song, D Schuurmans
Advances in Neural Information Processing Systems 32, 2019
Zahteve: US National Science Foundation
Optimal rates for regularized conditional mean embedding learning
Z Li, D Meunier, M Mollenhauer, A Gretton
Advances in Neural Information Processing Systems 35, 4433-4445, 2022
Zahteve: German Research Foundation
Kernel exponential family estimation via doubly dual embedding
B Dai, H Dai, A Gretton, L Song, D Schuurmans, N He
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Zahteve: US National Science Foundation
Efficient Aggregated Kernel Tests using Incomplete -statistics
A Schrab, I Kim, B Guedj, A Gretton
Advances in Neural Information Processing Systems 35, 18793-18807, 2022
Zahteve: US Department of Defense, UK Engineering and Physical Sciences Research …
On Brownian distance covariance and high dimensional data
MR Kosorok
The annals of applied statistics 3 (4), 1266, 2009
Zahteve: US National Institutes of Health
MMD-FUSE: Learning and combining kernels for two-sample testing without data splitting
F Biggs, A Schrab, A Gretton
Advances in Neural Information Processing Systems 36, 75151-75188, 2023
Zahteve: US National Science Foundation, UK Engineering and Physical Sciences …
GP-select: Accelerating EM using adaptive subspace preselection
JA Shelton, J Gasthaus, Z Dai, J Lücke, A Gretton
Neural Computation 29 (8), 2177-2202, 2017
Zahteve: German Research Foundation
A weaker faithfulness assumption based on triple interactions
A Marx, A Gretton, JM Mooij
Uncertainty in artificial intelligence, 451-460, 2021
Zahteve: European Commission
Antithetic and Monte Carlo kernel estimators for partial rankings
M Lomeli, M Rowland, A Gretton, Z Ghahramani
Statistics and Computing 29, 1127-1147, 2019
Zahteve: UK Engineering and Physical Sciences Research Council
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