Zoltán Szabó

68 papers A* 4A 5B 3C 1Journal 37Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kernel Integrated R CoRR Pouya Roudaki, Shakeel Gavioli-Akilagun, Florian Kalinke, Mona Azadkia, Zoltán Szabó
2025	A	`conf`	Nyström Kernel Stein Discrepancy. AISTATS Florian Kalinke, Zoltán Szabó, Bharath K. Sriperumbudur
2025	J	`jnl`	The Minimax Lower Bound of Kernel Stein Discrepancy Estimation. CoRR Jose Cribeiro-Ramallo, Agnideep Aich, Florian Kalinke, Ashit Baran Aich, Zoltán Szabó
2024	J	`jnl`	Nyström Kernel Stein Discrepancy. CoRR Florian Kalinke, Zoltán Szabó, Bharath K. Sriperumbudur
2024	A*	`conf`	The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels. NeurIPS Florian Kalinke, Zoltán Szabó
2024	J	`jnl`	The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels. CoRR Florian Kalinke, Zoltán Szabó
2023	J	`jnl`	Nyström M-Hilbert-Schmidt Independence Criterion. CoRR Florian Kalinke, Zoltán Szabó
2023	A	`conf`	Nyström M-Hilbert-Schmidt independence criterion. UAI Florian Kalinke, Zoltán Szabó
2022	J	`jnl`	Discussion of 'Multiscale Fisher's Independence Test for Multivariate Dependence'. CoRR Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton
2022	J	`jnl`	Handling Hard Affine SDP Shape Constraints in RKHSs. J. Mach. Learn. Res. Pierre-Cyril Aubin-Frankowski, Zoltán Szabó
2021	J	`jnl`	Handling Hard Affine SDP Shape Constraints in RKHSs. CoRR Pierre-Cyril Aubin-Frankowski, Zoltán Szabó
2020	A*	`conf`	Hard Shape-Constrained Kernel Machines. NeurIPS Pierre-Cyril Aubin-Frankowski, Zoltán Szabó
2020	J	`jnl`	Hard Shape-Constrained Kernel Machines. CoRR Pierre-Cyril Aubin-Frankowski, Zoltán Szabó
2019	A	`conf`	On Kernel Derivative Approximation with Random Fourier Features. AISTATS Zoltán Szabó, Bharath K. Sriperumbudur
2018	J	`jnl`	On Kernel Derivative Approximation with Random Fourier Features. CoRR Zoltán Szabó, Bharath K. Sriperumbudur
2017	—	`conf`	A Linear-Time Kernel Goodness-of-Fit Test. NIPS Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
2017	J	`jnl`	A Linear-Time Kernel Goodness-of-Fit Test. CoRR Wittawat Jitkrittum, Wenkai Xu, Zoltán Szabó, Kenji Fukumizu, Arthur Gretton
2017	A*	`conf`	An Adaptive Test of Independence with Analytic Kernel Embeddings. ICML Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton
2017	J	`jnl`	Characteristic and Universal Tensor Product Kernels. CoRR Zoltán Szabó, Bharath K. Sriperumbudur
2017	J	`jnl`	Characteristic and Universal Tensor Product Kernels. J. Mach. Learn. Res. Zoltán Szabó, Bharath K. Sriperumbudur
2016	J	`jnl`	An Adaptive Test of Independence with Analytic Kernel Embeddings. CoRR Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton
2016	—	`conf`	Interpretable Distribution Features with Maximum Testing Power. NIPS Wittawat Jitkrittum, Zoltán Szabó, Kacper P. Chwialkowski, Arthur Gretton
2016	J	`jnl`	Interpretable Distribution Features with Maximum Testing Power. CoRR Wittawat Jitkrittum, Zoltán Szabó, Kacper Chwialkowski, Arthur Gretton
2016	J	`jnl`	Learning Theory for Distribution Regression. J. Mach. Learn. Res. Zoltán Szabó, Bharath K. Sriperumbudur, Barnabás Póczos, Arthur Gretton
2015	—	`conf`	Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM). NIPS Mijung Park, Wittawat Jitkrittum, Ahmad Qamar, Zoltán Szabó, Lars Buesing, Maneesh Sahani
2015	—	`conf`	Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families. NIPS Heiko Strathmann, Dino Sejdinovic, Samuel Livingstone, Zoltán Szabó, Arthur Gretton
2015	A	`conf`	Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. UAI Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltán Szabó
2015	J	`jnl`	Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. CoRR Wittawat Jitkrittum, Arthur Gretton, Nicolas Heess, S. M. Ali Eslami, Balaji Lakshminarayanan, Dino Sejdinovic, Zoltán Szabó
2015	—	`conf`	Optimal Rates for Random Fourier Features. NIPS Bharath K. Sriperumbudur, Zoltán Szabó
2015	J	`jnl`	Optimal Rates for Random Fourier Features. CoRR Bharath K. Sriperumbudur, Zoltán Szabó
2015	A	`conf`	Two-stage sampled learning theory on distributions. AISTATS Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur
2014	J	`jnl`	Consistent, Two-Stage Sampled Distribution Regression via Mean Embedding. CoRR Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur
2014	J	`jnl`	Information Theoretical Estimators Toolbox. CoRR Zoltán Szabó
2014	J	`jnl`	Information theoretical estimators toolbox. J. Mach. Learn. Res. Zoltán Szabó
2014	J	`jnl`	Learning Theory for Distribution Regression. CoRR Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur
2014	—	`conf`	Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity. ECCV (4) László A. Jeni, András Lörincz, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade
2013	—	`conf`	Emotional Expression Classification Using Time-Series Kernels. CVPR Workshops András Lörincz, László Attila Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade
2013	J	`jnl`	Emotional Expression Classification using Time-Series Kernels. CoRR András Lörincz, László A. Jeni, Zoltán Szabó, Jeffrey F. Cohn, Takeo Kanade
2013	C	`conf`	Explaining Unintelligible Words by Means of their Context. ICPRAM Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz
2013	—	`conf`	Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding. ICPRAM (Selected Papers) Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz
2012	J	`jnl`	3D shape estimation in video sequences provides high precision evaluation of facial expressions. Image Vis. Comput. László A. Jeni, András Lörincz, Tamás Nagy, Zsolt Palotai, Judit Sebok, Zoltán Szabó, Dániel Takács
2012	J	`jnl`	Automated Word Puzzle Generation via Topic Dictionaries CoRR Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lörincz
2012	J	`jnl`	Collaborative Filtering via Group-Structured Dictionary Learning CoRR Zoltán Szabó, Barnabás Póczos, András Lörincz
2012	—	`conf`	Collaborative Filtering via Group-Structured Dictionary Learning. LVA/ICA Zoltán Szabó, Barnabás Póczos, András Lörincz
2012	J	`jnl`	Distributed High Dimensional Information Theoretical Image Registration via Random Projections CoRR Zoltán Szabó, András Lörincz
2012	J	`jnl`	Distributed high dimensional information theoretical image registration via random projections. Digit. Signal Process. Zoltán Szabó, András Lörincz
2012	J	`jnl`	Separation theorem for independent subspace analysis and its consequences. Pattern Recognit. Zoltán Szabó, Barnabás Póczos, András Lörincz
2011	—	`conf`	Nonparametric divergence estimators for independent subspace analysis. EUSIPCO Barnabás Póczos, Zoltán Szabó, Jeff G. Schneider
2011	—	`conf`	Nonparametric independent process analysis. EUSIPCO Zoltán Szabó, Barnabás Póczos
2011	A*	`conf`	Online group-structured dictionary learning. CVPR Zoltán Szabó, Barnabás Póczos, András Lörincz
2010	J	`jnl`	Auto-regressive independent process analysis without combinatorial efforts. Pattern Anal. Appl. Zoltán Szabó, Barnabás Póczos, András Lörincz
2010	B	`conf`	Autoregressive independent process analysis with missing observations. ESANN Zoltán Szabó
2010	J	`jnl`	Towards Nonstationary, Nonparametric Independent Process Analysis with Unknown Source Component Dimensions CoRR Zoltán Szabó
2009	—	`conf`	Complete Blind Subspace Deconvolution. ICA Zoltán Szabó
2009	J	`jnl`	Complex Independent Process Analysis. Acta Cybern. Zoltán Szabó, András Lörincz
2009	B	`conf`	Controlled Complete ARMA Independent Process Analysis. IJCNN Zoltán Szabó, András Lörincz
2009	—	`conf`	Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles. ICA Zoltán Szabó, András Lörincz
2009	—	`—`	Separation Principles in Independent Process Analysis Zoltán Szabó
2007	—	`conf`	Independent Process Analysis Without a Priori Dimensional Information. ICA Barnabás Póczos, Zoltán Szabó, Melinda Kiszlinger, András Lörincz
2007	J	`jnl`	Independent Subspace Analysis can Cope with the 'Curse of Dimensionality'. Acta Cybern. Zoltán Szabó, András Lörincz
2007	J	`jnl`	Neurally plausible, non-combinatorial iterative independent process analysis. Neurocomputing András Lörincz, Zoltán Szabó
2007	—	`conf`	Post Nonlinear Independent Subspace Analysis. ICANN (1) Zoltán Szabó, Barnabás Póczos, Gábor Szirtes, András Lörincz
2007	—	`conf`	Undercomplete Blind Subspace Deconvolution Via Linear Prediction. ECML Zoltán Szabó, Barnabás Póczos, András Lörincz
2007	J	`jnl`	Undercomplete Blind Subspace Deconvolution. J. Mach. Learn. Res. Zoltán Szabó, Barnabás Póczos, András Lörincz
2006	—	`conf`	Cross-Entropy Optimization for Independent Process Analysis. ICA Zoltán Szabó, Barnabás Póczos, András Lörincz
2006	J	`jnl`	ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks. Acta Cybern. Zoltán Szabó, András Lörincz
2004	B	`conf`	Hidden Markov model finds behavioral patterns of users working with a headmouse driven writing tool. IJCNN György Hévízi, Mihály Biczó, Barnabás Póczos, Zoltán Szabó, Bálint Takács, András Lörincz
2004	J	`jnl`	L1 regularization is better than L2 for learning and predicting chaotic systems CoRR Zoltán Szabó, András Lörincz