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ORCIDZoltán Szabó 0001
Person information
- affiliation: École Polytechnique, Department of Applied Mathematics, Palaiseau, France
- affiliation: University College London, Gatsby Computational Neuroscience Unit, UK
- affiliation: Eötvös Loránd University, Budapest, Hungary
- not to be confused with: Zoltán Szabó 0004
Other persons with the same name
- Zoltán Szabó — disambiguation page
- Zoltán Szabó 0002 — Hungarian Academy of Sciences, Institute for Computer Science and Control, Systems and Control Lab
- Zoltán Szabó 0003
![[0000-0001-9466-1448]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9466-1448")
— Corvinus University of Budapest, Department of Information Systems, Budapest, Hungary - Zoltán Szabó 0004 — Door2World, Veszprém, Hungary
- Zoltán Szabó 0005 — Brno University of Technology, Brno, Czech Republic
- Zoltán Szabó 0006 — Czech Technical University in Prague, Faculty of Biomedical Engineering
- Zoltán Szabó 0007 — University of Arizona, Department of Aerospace and Mechanical Engineering, Tucson, USA
- Zoltán Szabó 0008 — Codespring, Cluj-Napoca, Romania
- Zoltán Szabó 0009 — University of Szeged, Hungary
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2020 – today
- 2022
[j13]Pierre-Cyril Aubin-Frankowski, Zoltán Szabó:
Handling Hard Affine SDP Shape Constraints in RKHSs. J. Mach. Learn. Res. 23: 297:1-297:54 (2022)- [i19]Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton:
Discussion of 'Multiscale Fisher's Independence Test for Multivariate Dependence'. CoRR abs/2206.11142 (2022) - 2021
- [i18]Pierre-Cyril Aubin-Frankowski, Zoltán Szabó:
Handling Hard Affine SDP Shape Constraints in RKHSs. CoRR abs/2101.01519 (2021) - 2020
- [c26]Pierre-Cyril Aubin-Frankowski, Zoltán Szabó:
Hard Shape-Constrained Kernel Machines. NeurIPS 2020 - [i17]Pierre-Cyril Aubin-Frankowski, Zoltán Szabó:
Hard Shape-Constrained Kernel Machines. CoRR abs/2005.12636 (2020)
2010 – 2019
- 2019
- [c25]Zoltán Szabó, Bharath K. Sriperumbudur:
On Kernel Derivative Approximation with Random Fourier Features. AISTATS 2019: 827-836 - 2018
- [i16]Zoltán Szabó, Bharath K. Sriperumbudur:
On Kernel Derivative Approximation with Random Fourier Features. CoRR abs/1810.05207 (2018) - 2017
- [j12]Zoltán Szabó, Bharath K. Sriperumbudur:
Characteristic and Universal Tensor Product Kernels. J. Mach. Learn. Res. 18: 233:1-233:29 (2017) - [c24]Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton:
An Adaptive Test of Independence with Analytic Kernel Embeddings. ICML 2017: 1742-1751 - [c23]Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton:
A Linear-Time Kernel Goodness-of-Fit Test. NIPS 2017: 262-271 - [i15]Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton:
A Linear-Time Kernel Goodness-of-Fit Test. CoRR abs/1705.07673 (2017) - [i14]Zoltán Szabó, Bharath K. Sriperumbudur:
Characteristic and Universal Tensor Product Kernels. CoRR abs/1708.08157 (2017) - 2016
- [j11]Zoltán Szabó, Bharath K. Sriperumbudur, Barnabás Póczos, Arthur Gretton:
Learning Theory for Distribution Regression. J. Mach. Learn. Res. 17: 152:1-152:40 (2016) - [c22]Wittawat Jitkrittum, Zoltán Szabó, Kacper P. Chwialkowski, Arthur Gretton:
Interpretable Distribution Features with Maximum Testing Power. NIPS 2016: 181-189 - [i13]Wittawat Jitkrittum, Zoltán Szabó, Kacper Chwialkowski, Arthur Gretton:
Interpretable Distribution Features with Maximum Testing Power. CoRR abs/1605.06796 (2016) - [i12]Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton:
An Adaptive Test of Independence with Analytic Kernel Embeddings. CoRR abs/1610.04782 (2016) - 2015
- [c21]Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur:
Two-stage sampled learning theory on distributions. AISTATS 2015 - [c20]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: 154-162 - [c19]Heiko Strathmann, Dino Sejdinovic, Samuel Livingstone, Zoltán Szabó, Arthur Gretton:
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families. NIPS 2015: 955-963 - [c18]Bharath K. Sriperumbudur, Zoltán Szabó:
Optimal Rates for Random Fourier Features. NIPS 2015: 1144-1152 - [c17]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: 405-414 - [i11]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 abs/1503.02551 (2015) - [i10]Bharath K. Sriperumbudur, Zoltán Szabó:
Optimal Rates for Random Fourier Features. CoRR abs/1506.02155 (2015) - 2014
- [j10]Zoltán Szabó:
Information theoretical estimators toolbox. J. Mach. Learn. Res. 15(1): 283-287 (2014) - [c16]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: 135-150 - [i9]Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur:
Consistent, Two-Stage Sampled Distribution Regression via Mean Embedding. CoRR abs/1402.1754 (2014) - [i8]Zoltán Szabó:
Information Theoretical Estimators Toolbox. CoRR abs/1405.2106 (2014) - [i7]Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur:
Learning Theory for Distribution Regression. CoRR abs/1411.2066 (2014) - 2013
- [c15]András Lörincz, László Attila Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade:
Emotional Expression Classification Using Time-Series Kernels. CVPR Workshops 2013: 889-895 - [c14]Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz:
Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding. ICPRAM (Selected Papers) 2013: 241-255 - [c13]Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz:
Explaining Unintelligible Words by Means of their Context. ICPRAM 2013: 382-387 - [i6]András Lörincz, László A. Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade:
Emotional Expression Classification using Time-Series Kernels. CoRR abs/1306.1913 (2013) - 2012
- [j9]Zoltán Szabó, András Lörincz:
Distributed high dimensional information theoretical image registration via random projections. Digit. Signal Process. 22(6): 894-902 (2012) - [j8]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): 785-795 (2012) - [j7]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Separation theorem for independent subspace analysis and its consequences. Pattern Recognit. 45(4): 1782-1791 (2012) - [c12]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Collaborative Filtering via Group-Structured Dictionary Learning. LVA/ICA 2012: 247-254 - [i5]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Collaborative Filtering via Group-Structured Dictionary Learning. CoRR abs/1201.0341 (2012) - [i4]Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz:
Automated Word Puzzle Generation via Topic Dictionaries. CoRR abs/1206.0377 (2012) - [i3]Zoltán Szabó, András Lörincz:
Distributed High Dimensional Information Theoretical Image Registration via Random Projections. CoRR abs/1210.0824 (2012) - 2011
- [c11]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Online group-structured dictionary learning. CVPR 2011: 2865-2872 - [c10]Barnabás Póczos, Zoltán Szabó, Jeff G. Schneider:
Nonparametric divergence estimators for independent subspace analysis. EUSIPCO 2011: 1718-1722 - [c9]Zoltán Szabó, Barnabás Póczos:
Nonparametric independent process analysis. EUSIPCO 2011: 1849-1853 - 2010
- [j6]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Auto-regressive independent process analysis without combinatorial efforts. Pattern Anal. Appl. 13(1): 1-13 (2010) - [c8]Zoltán Szabó:
Autoregressive independent process analysis with missing observations. ESANN 2010 - [i2]Zoltán Szabó:
Towards Nonstationary, Nonparametric Independent Process Analysis with Unknown Source Component Dimensions. CoRR abs/1008.1393 (2010)
2000 – 2009
- 2009
- [b1]Zoltán Szabó:
Separation Principles in Independent Process Analysis. Eötvös Loránd University, Hungary, 2009 - [j5]Zoltán Szabó, András Lörincz:
Complex Independent Process Analysis. Acta Cybern. 19(1): 177-190 (2009) - [c7]Zoltán Szabó:
Complete Blind Subspace Deconvolution. ICA 2009: 138-145 - [c6]Zoltán Szabó, András Lörincz:
Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles. ICA 2009: 146-153 - [c5]Zoltán Szabó, András Lörincz:
Controlled Complete ARMA Independent Process Analysis. IJCNN 2009: 3038-3045 - 2007
- [j4]Zoltán Szabó, András Lörincz:
Independent Subspace Analysis can Cope with the 'Curse of Dimensionality'. Acta Cybern. 18(2): 213-221 (2007) - [j3]András Lörincz, Zoltán Szabó:
Neurally plausible, non-combinatorial iterative independent process analysis. Neurocomputing 70(7-9): 1569-1573 (2007) - [j2]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Undercomplete Blind Subspace Deconvolution. J. Mach. Learn. Res. 8: 1063-1095 (2007) - [c4]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Undercomplete Blind Subspace Deconvolution Via Linear Prediction. ECML 2007: 740-747 - [c3]Barnabás Póczos, Zoltán Szabó, Melinda Kiszlinger, András Lörincz:
Independent Process Analysis Without a Priori Dimensional Information. ICA 2007: 252-259 - [c2]Zoltán Szabó, Barnabás Póczos, Gábor Szirtes, András Lörincz:
Post Nonlinear Independent Subspace Analysis. ICANN (1) 2007: 677-686 - 2006
- [j1]Zoltán Szabó, András Lörincz:
ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks. Acta Cybern. 17(3): 605-614 (2006) - [c1]Zoltán Szabó, Barnabás Póczos, András Lörincz:
Cross-Entropy Optimization for Independent Process Analysis. ICA 2006: 909-916 - 2004
- [i1]Zoltán Szabó, András Lörincz:
L1 regularization is better than L2 for learning and predicting chaotic systems. CoRR cs.LG/0410015 (2004)
Coauthor Index
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