Segui
Matthias Seeger
Matthias Seeger
Principal Applied Scientist, Amazon, Berlin
Email verificata su amazon.de - Home page
Titolo
Citata da
Citata da
Anno
Using the Nystr÷m method to speed up kernel machines
C Williams, M Seeger
Advances in neural information processing systems 13, 2000
28772000
Gaussian process optimization in the bandit setting: No regret and experimental design
N Srinivas, A Krause, SM Kakade, M Seeger
arXiv preprint arXiv:0912.3995, 2009
22802009
Gaussian processes for machine learning
M Seeger
International journal of neural systems 14 (02), 69-106, 2004
10512004
Information-theoretic regret bounds for gaussian process optimization in the bandit setting
N Srinivas, A Krause, SM Kakade, MW Seeger
IEEE transactions on information theory 58 (5), 3250-3265, 2012
8292012
Learning with labeled and unlabeled data
M Seeger
7272000
Fast sparse Gaussian process methods: The informative vector machine
N Lawrence, M Seeger, R Herbrich
Advances in neural information processing systems 15, 2002
7152002
Fast forward selection to speed up sparse Gaussian process regression
MW Seeger, CKI Williams, ND Lawrence
International Workshop on Artificial Intelligence and Statistics, 254-261, 2003
6162003
Deep state space models for time series forecasting
SS Rangapuram, MW Seeger, J Gasthaus, L Stella, Y Wang, ...
Advances in neural information processing systems 31, 2018
5762018
PAC-Bayesian generalisation error bounds for Gaussian process classification
M Seeger
Journal of machine learning research 3 (Oct), 233-269, 2002
3892002
Model learning with local gaussian process regression
D Nguyen-Tuong, M Seeger, J Peters
Advanced Robotics 23 (15), 2015-2034, 2009
3722009
Bayesian inference and optimal design in the sparse linear model
M Seeger, F Steinke, K Tsuda
Artificial Intelligence and Statistics, 444-451, 2007
3722007
Local Gaussian process regression for real time online model learning
D Nguyen-Tuong, J Peters, M Seeger
Advances in neural information processing systems 21, 2008
3062008
Semiparametric latent factor models
YW Teh, M Seeger, MI Jordan
International Workshop on Artificial Intelligence and Statistics, 333-340, 2005
3052005
Bayesian Gaussian process models: PAC-Bayesian generalisation error bounds and sparse approximations
M Seeger
University of Edinburgh, 2003
2402003
The effect of the input density distribution on kernel-based classifiers
C Williams, M Seeger
ICML'00 Proceedings of the Seventeenth International Conference on Machineá…, 2000
2272000
Expectation propagation for exponential families
M Seeger
2052005
Computed torque control with nonparametric regression models
D Nguyen-Tuong, M Seeger, J Peters
2008 American Control Conference, 212-217, 2008
1842008
Optimization of k‐space trajectories for compressed sensing by Bayesian experimental design
M Seeger, H Nickisch, R Pohmann, B Sch÷lkopf
Magnetic Resonance in Medicine: An Official Journal of the Internationalá…, 2010
1772010
Bayesian model selection for support vector machines, Gaussian processes and other kernel classifiers
M Seeger
Advances in neural information processing systems 12, 1999
1731999
Fast gaussian process regression using kd-trees
Y Shen, M Seeger, A Ng
Advances in neural information processing systems 18, 2005
1562005
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–20