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Kalinke, Florian and Szabo, Zoltan (2024) The minimax rate of HSIC estimation for translation-invariant kernel. . arXiv. (In Press)
Bonnier, Patric, Oberhauser, Harald and Szabo, Zoltan (2023) Kernelized cumulants: beyond kernel mean embeddings. In: Advances in Neural Information Processing Systems 36. Curran Associates, Inc..
Toth, Csaba, Oberhauser, Harald and Szabo, Zoltan (2023) Random Fourier signature features. . arXiv.
Kalinke, Florian and Szabo, Zoltan (2023) Nyström M-Hilbert-Schmidt independence criterion. In: 39th Conference on Artificial Intelligence, 2023-07-31 - 2023-08-04, Pittsburgh, PA, United States.
Aubin-Frankowski, Pierre-Cyril and Szabo, Zoltan (2022) Handling hard affine SDP shape constraints in RKHSs. Journal of Machine Learning Research. ISSN 1532-4435
Schrab, Antonin, Jitkrittum, Wittawat, Szabo, Zoltan, Sejdinovic, Dino and Gretton, Arthur (2022) Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’. Biometrika, 109 (3). 597 – 603. ISSN 0006-3444
Lambert, Alex, Bouche, Dimitri, Szabo, Zoltan and d'Alché-Buc, Florence (2022) Functional output regression with infimal convolution: exploring the Huber and ε-insensitive losses. In: International Conference on Machine Learning, 2022-07-17 - 2022-07-23, Baltimore, MD, United States.
Lambert, Alex, Parekh, Sanjeel, Szabo, Zoltan and d'Alché-Buc, Florence (2021) Continuous emotion transfer using kernels. In: Controllable Generative Modeling in Language and Vision: CtrlGen Workshop at NeurIPS 2021, 2021-12-13, Online.
Chamakh, Linda and Szabo, Zoltan (2021) Kernel minimum divergence portfolios. . arXiv. (Submitted)
