Zoltán Szabó

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 16

Top Topics

Kernel Machines

Learning Theory

Top Venues

J. Mach. Learn. Res.

Publications

Pierre-Cyril Aubin-Frankowski, Zoltán Szabó
Handling Hard Affine SDP Shape Constraints in RKHSs. J. Mach. Learn. Res. 23 (2022)
Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton
Discussion of 'Multiscale Fisher's Independence Test for Multivariate Dependence'. CoRR (2022)
Pierre-Cyril Aubin-Frankowski, Zoltán Szabó
Handling Hard Affine SDP Shape Constraints in RKHSs. CoRR (2021)
Pierre-Cyril Aubin-Frankowski, Zoltán Szabó
Hard Shape-Constrained Kernel Machines. CoRR (2020)
Pierre-Cyril Aubin-Frankowski, Zoltán Szabó
Hard Shape-Constrained Kernel Machines. NeurIPS (2020)
Zoltán Szabó, Bharath K. Sriperumbudur
On Kernel Derivative Approximation with Random Fourier Features. AISTATS (2019)
Zoltán Szabó, Bharath K. Sriperumbudur
On Kernel Derivative Approximation with Random Fourier Features. CoRR (2018)
Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
A Linear-Time Kernel Goodness-of-Fit Test. NIPS (2017)
Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
A Linear-Time Kernel Goodness-of-Fit Test. CoRR (2017)
Zoltán Szabó, Bharath K. Sriperumbudur
Characteristic and Universal Tensor Product Kernels. J. Mach. Learn. Res. 18 (2017)
Zoltán Szabó, Bharath K. Sriperumbudur
Characteristic and Universal Tensor Product Kernels. CoRR (2017)
Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton
An Adaptive Test of Independence with Analytic Kernel Embeddings. ICML (2017)
Wittawat Jitkrittum, Zoltán Szabó, Kacper Chwialkowski, Arthur Gretton
Interpretable Distribution Features with Maximum Testing Power. CoRR (2016)
Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton
An Adaptive Test of Independence with Analytic Kernel Embeddings. CoRR (2016)
Wittawat Jitkrittum, Zoltán Szabó, Kacper P. Chwialkowski, Arthur Gretton
Interpretable Distribution Features with Maximum Testing Power. NIPS (2016)
Zoltán Szabó, Bharath K. Sriperumbudur, Barnabás Póczos, Arthur Gretton
Learning Theory for Distribution Regression. J. Mach. Learn. Res. 17 (2016)
Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur
Two-stage sampled learning theory on distributions. AISTATS (2015)
Bharath K. Sriperumbudur, Zoltán Szabó
Optimal Rates for Random Fourier Features. CoRR (2015)
Heiko Strathmann, Dino Sejdinovic, Samuel Livingstone, Zoltán Szabó, Arthur Gretton
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families. NIPS (2015)
Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltán Szabó
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. UAI (2015)
Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltán Szabó
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. CoRR (2015)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar, Zoltán Szabó, Lars Buesing, Maneesh Sahani
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM). NIPS (2015)
Bharath K. Sriperumbudur, Zoltán Szabó
Optimal Rates for Random Fourier Features. NIPS (2015)
Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur
Consistent, Two-Stage Sampled Distribution Regression via Mean Embedding. CoRR (2014)
László A. Jeni, András Lörincz, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade
Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity. ECCV (4) (2014)
Zoltán Szabó
Information theoretical estimators toolbox. J. Mach. Learn. Res. 15 (1) (2014)
Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur
Learning Theory for Distribution Regression. CoRR (2014)
Zoltán Szabó
Information Theoretical Estimators Toolbox. CoRR (2014)
András Lörincz, László A. Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade
Emotional Expression Classification using Time-Series Kernels. CoRR (2013)
Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz
Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding. ICPRAM (Selected Papers) (2013)
András Lörincz, László Attila Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade
Emotional Expression Classification Using Time-Series Kernels. CVPR Workshops (2013)
Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz
Explaining Unintelligible Words by Means of their Context. ICPRAM (2013)
Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz
Automated Word Puzzle Generation via Topic Dictionaries CoRR (2012)
Zoltán Szabó, Barnabás Póczos, András Lörincz
Collaborative Filtering via Group-Structured Dictionary Learning. LVA/ICA (2012)
Zoltán Szabó, András Lörincz
Distributed high dimensional information theoretical image registration via random projections. Digit. Signal Process. 22 (6) (2012)
Zoltán Szabó, Barnabás Póczos, András Lörincz
Separation theorem for independent subspace analysis and its consequences. Pattern Recognit. 45 (4) (2012)
Zoltán Szabó, András Lörincz
Distributed High Dimensional Information Theoretical Image Registration via Random Projections CoRR (2012)
Zoltán Szabó, Barnabás Póczos, András Lörincz
Collaborative Filtering via Group-Structured Dictionary Learning CoRR (2012)
László A. Jeni, András Lörincz, Tamás Nagy, Zsolt Palotai, Judit Sebok, Zoltán Szabó, Dániel Takács
3D shape estimation in video sequences provides high precision evaluation of facial expressions. Image Vis. Comput. 30 (10) (2012)
Barnabás Póczos, Zoltán Szabó, Jeff G. Schneider
Nonparametric divergence estimators for independent subspace analysis. EUSIPCO (2011)
Zoltán Szabó, Barnabás Póczos, András Lörincz
Online group-structured dictionary learning. CVPR (2011)
Zoltán Szabó, Barnabás Póczos
Nonparametric independent process analysis. EUSIPCO (2011)
Zoltán Szabó, Barnabás Póczos, András Lörincz
Auto-regressive independent process analysis without combinatorial efforts. Pattern Anal. Appl. 13 (1) (2010)
Zoltán Szabó
Autoregressive independent process analysis with missing observations. ESANN (2010)
Zoltán Szabó
Towards Nonstationary, Nonparametric Independent Process Analysis with Unknown Source Component Dimensions CoRR (2010)
Zoltán Szabó
Complete Blind Subspace Deconvolution. ICA (2009)
Zoltán Szabó, András Lörincz
Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles. ICA (2009)
Zoltán Szabó, András Lörincz
Controlled Complete ARMA Independent Process Analysis. IJCNN (2009)
Zoltán Szabó, András Lörincz
Complex Independent Process Analysis. Acta Cybern. 19 (1) (2009)
Zoltán Szabó, Barnabás Póczos, Gábor Szirtes, András Lörincz
Post Nonlinear Independent Subspace Analysis. ICANN (1) (2007)
Zoltán Szabó, András Lörincz
Independent Subspace Analysis can Cope with the 'Curse of Dimensionality'. Acta Cybern. 18 (2) (2007)
Zoltán Szabó, Barnabás Póczos, András Lörincz
Undercomplete Blind Subspace Deconvolution. J. Mach. Learn. Res. 8 (2007)
Barnabás Póczos, Zoltán Szabó, Melinda Kiszlinger, András Lörincz
Independent Process Analysis Without a Priori Dimensional Information. ICA (2007)
Zoltán Szabó, Barnabás Póczos, András Lörincz
Undercomplete Blind Subspace Deconvolution Via Linear Prediction. ECML (2007)
András Lörincz, Zoltán Szabó
Neurally plausible, non-combinatorial iterative independent process analysis. Neurocomputing 70 (7-9) (2007)
Zoltán Szabó, Barnabás Póczos, András Lörincz
Cross-Entropy Optimization for Independent Process Analysis. ICA (2006)
Zoltán Szabó, András Lörincz
ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks. Acta Cybern. 17 (3) (2006)
Zoltán Szabó, András Lörincz
L1 regularization is better than L2 for learning and predicting chaotic systems CoRR (2004)