@article{MTMT:34735759,
	title = {Statisztikus tanuláselmélet I. rész. Szupport vektor gépek},
	url = {https://m2.mtmt.hu/api/publication/34735759},
	author = {Tamás, Ambrus and Csáji, Balázs Csanád},
	journal-iso = {ÉRINTŐ},
	journal = {ÉRINTŐ : ELEKTRONIKUS MATEMATIKAI LAPOK},
	unique-id = {34735759},
	year = {2024},
	eissn = {2559-9275}
}

@inproceedings{MTMT:34494815,
	title = {Robust Independence Tests with Finite Sample Guarantees for Synchronous Stochastic Linear Systems},
	url = {https://m2.mtmt.hu/api/publication/34494815},
	author = {Tamás, Ambrus and Bálint, D Á and Csáji, Balázs Csanád},
	booktitle = {2023 62nd IEEE Conference on Decision and Control (CDC)},
	unique-id = {34494815},
	year = {2023},
	pages = {7598-7603}
}

@CONFERENCE{MTMT:34493888,
	title = {Nonparametric Simultaneous Confidence Bands: The Case of Known Input Distributions},
	url = {https://m2.mtmt.hu/api/publication/34493888},
	author = {Horváth, Bálint and Csáji, Balázs Csanád},
	booktitle = {23rd European Young Statisticians Meeting, EYSM 2023},
	unique-id = {34493888},
	year = {2023},
	pages = {1-6}
}

@article{MTMT:34400037,
	title = {Improving Kernel-Based Nonasymptotic Simultaneous Confidence Bands},
	url = {https://m2.mtmt.hu/api/publication/34400037},
	author = {Csáji, Balázs Csanád and Horváth, Bálint},
	doi = {10.1016/j.ifacol.2023.10.1047},
	journal-iso = {IFACOL},
	journal = {IFAC PAPERSONLINE},
	volume = {56},
	unique-id = {34400037},
	issn = {2405-8971},
	year = {2023},
	eissn = {2405-8963},
	pages = {10357-10362}
}

@article{MTMT:34400018,
	title = {Sample Complexity of the Sign-Perturbed Sums Identification Method: Scalar Case},
	url = {https://m2.mtmt.hu/api/publication/34400018},
	author = {Szentpéteri, Szabolcs and Csáji, Balázs Csanád},
	doi = {10.1016/j.ifacol.2023.10.1048},
	journal-iso = {IFACOL},
	journal = {IFAC PAPERSONLINE},
	volume = {56},
	unique-id = {34400018},
	issn = {2405-8971},
	year = {2023},
	eissn = {2405-8963},
	pages = {10363-10370}
}

@article{MTMT:34034695,
	title = {Robust Independence Tests with Finite Sample Guarantees for Synchronous Stochastic Linear Systems},
	url = {https://m2.mtmt.hu/api/publication/34034695},
	author = {Tamás, Ambrus and Bálint, D Á and Csáji, Balázs Csanád},
	doi = {10.1109/LCSYS.2023.3287797},
	journal-iso = {IEEE CONTROL SYST LETT},
	journal = {IEEE CONTROL SYSTEMS LETTERS},
	volume = {7},
	unique-id = {34034695},
	year = {2023},
	eissn = {2475-1456},
	pages = {2701-2706}
}

@article{MTMT:34009624,
	title = {Non-asymptotic state-space identification of closed-loop stochastic linear systems using instrumental variables},
	url = {https://m2.mtmt.hu/api/publication/34009624},
	author = {Szentpéteri, Szabolcs and Csáji, Balázs Csanád},
	doi = {10.1016/j.sysconle.2023.105565},
	journal-iso = {SYST CONTROL LETT},
	journal = {SYSTEMS & CONTROL LETTERS},
	volume = {178},
	unique-id = {34009624},
	issn = {0167-6911},
	year = {2023},
	eissn = {1872-7956}
}

@inproceedings{MTMT:33370515,
	title = {Nonparametric, Nonasymptotic Confidence Bands with Paley-Wiener Kernels for Band-Limited Functions},
	url = {https://m2.mtmt.hu/api/publication/33370515},
	author = {Csáji, Balázs Csanád and Horváth, Bálint},
	booktitle = {2022 61st IEEE Conference on Decision and Control (CDC)},
	unique-id = {33370515},
	year = {2022},
	pages = {1-6}
}

@article{MTMT:32907736,
	title = {Nonparametric, Nonasymptotic Confidence Bands with Paley-Wiener Kernels for Band-Limited Functions},
	url = {https://m2.mtmt.hu/api/publication/32907736},
	author = {Csáji, Balázs Csanád and Horváth, Bálint},
	doi = {10.1109/LCSYS.2022.3185143},
	journal-iso = {IEEE CONTROL SYST LETT},
	journal = {IEEE CONTROL SYSTEMS LETTERS},
	volume = {6},
	unique-id = {32907736},
	year = {2022},
	eissn = {2475-1456},
	pages = {3355-3360}
}

@article{MTMT:32062947,
	title = {Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings},
	url = {https://m2.mtmt.hu/api/publication/32062947},
	author = {Tamás, Ambrus and Csáji, Balázs Csanád},
	doi = {10.1109/LCSYS.2021.3087409},
	journal-iso = {IEEE CONTROL SYST LETT},
	journal = {IEEE CONTROL SYSTEMS LETTERS},
	volume = {6},
	unique-id = {32062947},
	year = {2022},
	eissn = {2475-1456},
	pages = {860-865}
}