متابعة
Zoltan Szabo
Zoltan Szabo
Professor, LSE
بريد إلكتروني تم التحقق منه على lse.ac.uk - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Learning Theory for Distribution Regression‏
Z Szabo, B Sriperumbudur, B Poczos, A Gretton‏
Journal of Machine Learning Research 17 (152), 1-40, 2016‏
1962016
Optimal Rates for Random Fourier Features‏
B Sriperumbudur, Z Szabo‏
Advances in Neural Information Processing Systems (NIPS), 1144-1152, 2015‏
1712015
Information theoretical estimators toolbox‏
Z Szabó‏
Journal of Machine Learning Research 15 (1), 283-287, 2014‏
1542014
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
1512016
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), 261-270, 2017‏
1252017
Two-stage Sampled Learning Theory on Distributions‏
Z Szabó, A Gretton, B Póczos, B Sriperumbudur‏
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2015‏
1062015
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
942015
Characteristic and Universal Tensor Product Kernels‏
Z Szabo, B Sriperumbudur‏
Journal of Machine Learning Research 18 (233), 1-29, 2018‏
862018
Online group-structured dictionary learning‏
Z Szabo, B Poczos, A Lorincz‏
IEEE Computer Vision and Pattern Recognition (CVPR), 2865-2872, 2011‏
792011
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
732012
Undercomplete blind subspace deconvolution‏
Z Szabó, B Póczos, A Lőrincz‏
Journal of Machine Learning Research 8, 1063-1095, 2007‏
642007
Emotional expression classification using time-series kernels‏
A Lorincz, L Jeni, Z Szabo, J Cohn, T Kanade‏
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2013‏
612013
Separation theorem for independent subspace analysis and its consequences‏
Z Szabó, B Póczos, A Lõrincz‏
Pattern Recognition 45 (4), 1782-1791, 2012‏
562012
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
552017
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
462014
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
442015
MONK – Outlier-Robust Mean Embedding Estimation by Median-of-Means‏
M Lerasle, Z Szabo, T Mathieu, G Lecue‏
International Conference on Machine Learning (ICML), 3782-3793, 2019‏
402019
Cross-entropy optimization for independent process analysis‏
Z Szabó, B Póczos, A Lőrincz‏
Independent Component Analysis and Blind Signal Separation (ICA), 909-916, 2006‏
372006
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
30*2015
Hard Shape-Constrained Kernel Machines‏
PC Aubin-Frankowski, Z Szabo‏
Advances in Neural Information Processing Systems (NeurIPS), 384-395, 2020‏
292020
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مقالات 1–20