Items where Author is "Szabo, Zoltan"

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, Zhao, Qianyu and Shi, Chengchun (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)

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: Conference on Uncertainty in Artificial Intelligence, 2024-07-31 - 2024-08-04, University Center at Carnegie Mellon University, Pittsburgh, United States, USA.

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, USA.

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)