Zoltan Szabo
Zoltan Szabo
Senior Researcher, Center of Applied Mathematics (CMAP), École Polytechnique
Bestätigte E-Mail-Adresse bei polytechnique.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Optimal Rates for Random Fourier Features
B Sriperumbudur, Z Szabo
Advances in Neural Information Processing Systems (NIPS), 1144-1152, 2015
812015
Information theoretical estimators toolbox
Z Szabó
The Journal of Machine Learning Research 15 (1), 283-287, 2014
802014
Learning Theory for Distribution Regression
Z Szabo, B Sriperumbudur, B Poczos, A Gretton
Journal of Machine Learning Research 17 (152), 1-40, 2016
782016
Undercomplete blind subspace deconvolution
Z Szabó, B Póczos, A Lőrincz
Journal of Machine Learning Research 8, 1063-1095, 2007
672007
Two-stage Sampled Learning Theory on Distributions
Z Szabó, A Gretton, B Póczos, B Sriperumbudur
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2015
662015
3D shape estimation in video sequences provides high precision evaluation of facial expressions
L Jeni, A Lorincz, T Nagy, Z Palotai, J Sebok, Z Szabo, D Takacs
Image and Vision Computing, 2012
652012
Online group-structured dictionary learning
Z Szabo, B Poczos, A Lorincz
IEEE Computer Vision and Pattern Recognition (CVPR), 2865-2872, 2011
652011
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
H Strathmann, D Sejdinovic, S Livingston, Z Szabo, A Gretton
Advances in Neural Information Processing Systems (NIPS), 955-963, 2015
632015
A Linear-Time Kernel Goodness-of-Fit Test
W Jitkrittum, W Xu, Z Szabo, K Fukumizu, A Gretton
Advances in Neural Information Processing Systems (NIPS), 2017
572017
Interpretable Distribution Features with Maximum Testing Power
W Jitkrittum, Z Szabo, K Chwialkowski, A Gretton
Advances in Neural Information Processing Systems (NIPS), 181-189, 2016
552016
Emotional expression classification using time-series kernels
A Lorincz, L Jeni, Z Szabo, J Cohn, T Kanade
Proceedings of the IEEE Conference on computer vision and pattern …, 2013
522013
Separation theorem for independent subspace analysis and its consequences
Z Szabó, B Póczos, A Lõrincz
Pattern Recognition 45 (4), 1782-1791, 2012
452012
Spatio-temporal event classification using time-series kernel based structured sparsity
L Jeni, A Lőrincz, Z Szabó, J Cohn, T Kanade
European Conference on Computer Vision (ECCV) 8692, 135-150, 2014
382014
Cross-entropy optimization for independent process analysis
Z Szabó, B Póczos, A Lőrincz
Independent Component Analysis and Blind Signal Separation (ICA), 909-916, 2006
312006
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages
W Jitkrittum, A Gretton, N Heess, A Eslami, B Lakshminarayanan, ...
Conference on Uncertainty in Artificial Intelligence (UAI), 405-414, 2015
302015
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages
W Jitkrittum, A Gretton, N Heess, A Eslami, B Lakshminarayanan, ...
Data, Learning and Inference workshop (DALI), 2015
302015
An Adaptive Test of Independence with Analytic Kernel Embeddings
W Jitkrittum, Z Szabo, A Gretton
International Conference on Machine Learning (ICML) 70, 1742-1751, 2017
272017
An Adaptive Test of Independence with Analytic Kernel Embeddings
W Jitkrittum, Z Szabo, A Gretton
Probabilistic Graphical Model Workshop, 2017
272017
Bayesian Manifold Learning: The Locally Linear Latent Variable Model
M Park, W Jitkrittum, A Qamar, Z Szabó, L Buesing, M Sahani
Advances in Neural Information Processing Systems (NIPS), 154-162, 2015
21*2015
Characteristic and Universal Tensor Product Kernels
Z Szabo, B Sriperumbudur
Journal of Machine Learning Research 18 (233), 1-29, 2018
202018
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