Items where Author is "Szabo, Zoltan"

Kalinke, Florian and Szabo, Zoltan ORCID: 0000-0001-6183-7603 (2024) The minimax rate of HSIC estimation for translation-invariant kernel. In: 38th Annual Conference on Neural Information Processing Systems, 2024-12-10 - 2024-12-15, Vancouver Convention Center, Vancouver, Canada, CAN. (In Press)

Toth, Csaba, Oberhauser, Harald and Szabo, Zoltan ORCID: 0000-0001-6183-7603 (2024) Random Fourier signature features. SIAM Journal on Mathematics of Data Science. ISSN 2577-0187 (In Press)

Ma, Tao ORCID: 0000-0002-8062-9217, Yang, Xuzhi and Szabo, Zoltan (2024) To switch or not to switch? Balanced policy switching in offline reinforcement learning. . arXiv. (Submitted)

Hao, Meiling, Su, Pingfan, Hu, Liyuan, Szabo, Zoltan ORCID: 0000-0001-6183-7603, Zhao, Qianyu and Shi, Chengchun ORCID: 0000-0001-7773-2099 (2024) Forward and backward state abstractions for off-policy evaluation. . arXiv. (Submitted)

Kalinke, Florian, Szabo, Zoltan and Sriperumbudur, Bharath K. (2024) Nyström Kernel Stein Discrepancy. . arXiv. (Submitted)

Bonnier, Patric, Oberhauser, Harald and Szabo, Zoltan ORCID: 0000-0001-6183-7603 (2023) Kernelized cumulants: beyond kernel mean embeddings. In: Advances in Neural Information Processing Systems 36. Curran Associates, Inc.. ISBN 9781713899921

Kalinke, Florian and Szabo, Zoltan ORCID: 0000-0001-6183-7603 (2023) Nyström M-Hilbert-Schmidt independence criterion. Proceedings of Machine Learning Research, 216. pp. 1005-1015. ISSN 2640-3498

Aubin-Frankowski, Pierre-Cyril and Szabo, Zoltan ORCID: 0000-0001-6183-7603 (2022) Handling hard affine SDP shape constraints in RKHSs. Journal of Machine Learning Research. ISSN 1532-4435

Schrab, Antonin, Jitkrittum, Wittawat, Szabo, Zoltan ORCID: 0000-0001-6183-7603, 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 ORCID: 0000-0001-6183-7603 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, USA. (Unpublished)

Lambert, Alex, Bouche, Dimitri, Szabo, Zoltan ORCID: 0000-0001-6183-7603 and d'Alché-Buc, Florence (2022) Functional output regression with infimal convolution: exploring the Huber and ε-insensitive losses. Proceedings of Machine Learning Research, 162. 11844 - 1186. ISSN 2640-3498

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 ORCID: 0000-0001-6183-7603 (2021) Kernel minimum divergence portfolios. . arXiv. (Submitted)