Balázs Csanád Csáji

71 papers A* 1A 3B 1C 1Journal 50Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distribution-Free Confidence Ellipsoids for Ridge Regression with PAC Bounds. CoRR Szabolcs Szentpéteri, Balázs Csanád Csáji
2025	A	`conf`	Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits. AISTATS Ambrus Tamás, Szabolcs Szentpéteri, Balázs Csanád Csáji
2025	J	`jnl`	Derandomizing Simultaneous Confidence Regions for Band-Limited Functions by Improved Norm Bounds and Majority-Voting Schemes. CoRR Balázs Csanád Csáji, Bálint Horváth
2025	J	`jnl`	Derandomizing Simultaneous Confidence Regions for Band-Limited Functions by Improved Norm Bounds and Majority-Voting Schemes. IEEE Control. Syst. Lett. Balázs Csanád Csáji, Bálint Horváth
2025	J	`jnl`	Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression. IEEE Trans. Signal Process. Szabolcs Szentpéteri, Balázs Csanád Csáji
2025	J	`jnl`	Sample complexity of the Sign-Perturbed Sums method. Autom. Szabolcs Szentpéteri, Balázs Csanád Csáji
2025	J	`jnl`	Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency. SIAM J. Control. Optim. Algo Carè, Erik Weyer, Balázs Csanád Csáji, Marco C. Campi
2025	J	`jnl`	Single Image Inpainting and Super-Resolution with Simultaneous Uncertainty Guarantees by Universal Reproducing Kernels. CoRR Bálint Horváth, Balázs Csanád Csáji
2025	J	`jnl`	Single image inpainting and super-resolution with simultaneous uncertainty guarantees by universal reproducing kernels. Mach. Learn. Bálint Horváth, Balázs Csanád Csáji
2024	A	`conf`	Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions. AISTATS Ambrus Tamás, Szabolcs Szentpéteri, Balázs Csanád Csáji
2024	J	`jnl`	Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits. CoRR Ambrus Tamás, Szabolcs Szentpéteri, Balázs Csanád Csáji
2024	J	`jnl`	Finite-Sample Identification of Linear Regression Models With Residual-Permuted Sums. IEEE Control. Syst. Lett. Szabolcs Szentpéteri, Balázs Csanád Csáji
2024	J	`jnl`	Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sums. CoRR Szabolcs Szentpéteri, Balázs Csanád Csáji
2024	J	`jnl`	Improving Kernel-Based Nonasymptotic Simultaneous Confidence Bands. CoRR Balázs Csanád Csáji, Bálint Horváth
2024	J	`jnl`	Recursive Estimation of Conditional Kernel Mean Embeddings. J. Mach. Learn. Res. Ambrus Tamás, Balázs Csanád Csáji
2024	J	`jnl`	Sample Complexity of the Sign-Perturbed Sums Identification Method: Scalar Case. CoRR Szabolcs Szentpéteri, Balázs Csanád Csáji
2024	J	`jnl`	Sample Complexity of the Sign-Perturbed Sums Method. CoRR Szabolcs Szentpéteri, Balázs Csanád Csáji
2024	J	`jnl`	Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version). CoRR Algo Carè, Erik Weyer, Balázs Csanád Csáji, Marco C. Campi
2023	J	`jnl`	Distribution-Free Inference for the Regression Function of Binary Classification. CoRR Ambrus Tamás, Balázs Csanád Csáji
2023	J	`jnl`	Non-Asymptotic State-Space Identification of Closed-Loop Stochastic Linear Systems using Instrumental Variables. CoRR Szabolcs Szentpéteri, Balázs Csanád Csáji
2023	J	`jnl`	Non-asymptotic state-space identification of closed-loop stochastic linear systems using instrumental variables. Syst. Control. Lett. Szabolcs Szentpéteri, Balázs Csanád Csáji
2023	J	`jnl`	On rate-optimal classification from non-private and from private data. CoRR Balázs Csanád Csáji, László Györfi, Ambrus Tamás
2023	J	`jnl`	Recursive Estimation of Conditional Kernel Mean Embeddings. CoRR Ambrus Tamás, Balázs Csanád Csáji
2023	J	`jnl`	Robust Independence Tests With Finite Sample Guarantees for Synchronous Stochastic Linear Systems. IEEE Control. Syst. Lett. Ambrus Tamás, Dániel Ágoston Bálint, Balázs Csanád Csáji
2023	J	`jnl`	Robust Independence Tests with Finite Sample Guarantees for Synchronous Stochastic Linear Systems. CoRR Ambrus Tamás, Dániel Ágoston Bálint, Balázs Csanád Csáji
2022	J	`jnl`	Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings. IEEE Control. Syst. Lett. Ambrus Tamás, Balázs Csanád Csáji
2022	J	`jnl`	Nonparametric, Nonasymptotic Confidence Bands With Paley-Wiener Kernels for Band-Limited Functions. IEEE Control. Syst. Lett. Balázs Csanád Csáji, Bálint Horváth
2022	J	`jnl`	Nonparametric, Nonasymptotic Confidence Bands with Paley-Wiener Kernels for Band-Limited Functions. CoRR Balázs Csanád Csáji, Bálint Horváth
2021	J	`jnl`	Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings. CoRR Ambrus Tamás, Balázs Csanád Csáji
2021	J	`jnl`	Facing undermodelling in Sign-Perturbed-Sums system identification. Syst. Control. Lett. Algo Carè, Marco Claudio Campi, Balázs Csanád Csáji, Erik Weyer
2019	J	`jnl`	Distribution-free uncertainty quantification for kernel methods by gradient perturbations. Mach. Learn. Balázs Csanád Csáji, Krisztián Balázs Kis
2019	J	`jnl`	On the Poisson Equation of Parameter-Dependent Markov Chains. CoRR Algo Carè, Balázs Csanád Csáji, Balázs Gerencsér, László Gerencsér, Miklós Rásonyi
2019	—	`conf`	Parameter-Dependent Poisson Equations: Tools for Stochastic Approximation in a Markovian Framework. CDC Algo Carè, Balázs Csanád Csáji, Balázs Gerencsér, László Gerencsér, Miklós Rásonyi
2019	—	`conf`	Semi-Parametric Uncertainty Bounds for Binary Classification. CDC Balázs Csanád Csáji, Ambrus Tamás
2019	J	`jnl`	Semi-Parametric Uncertainty Bounds for Binary Classification. CoRR Balázs Csanád Csáji, Ambrus Tamás
2018	—	`conf`	Asymptotic Analysis of the LMS Algorithm with Momentum. CDC László Gerencsér, Balázs Csanád Csáji, Sotirios Sabanis
2018	J	`jnl`	Finite-Sample System Identification: An Overview and a New Correlation Method. IEEE Control. Syst. Lett. Algo Carè, Balázs Csanád Csáji, Marco C. Campi, Erik Weyer
2018	J	`jnl`	Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models. CoRR Balázs Csanád Csáji
2018	J	`jnl`	Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models. CoRR Balázs Csanád Csáji, Marco C. Campi, Erik Weyer
2018	J	`jnl`	Uncertainty Quantification for Kernel Methods. CoRR Balázs Csanád Csáji, Krisztián Balázs Kis
2018	J	`jnl`	Wireless Multi-Sensor Networks for Smart Cities: A Prototype System with Statistical Data Analysis. CoRR Balázs Csanád Csáji, Zsolt Kemény, Gianfranco Pedone, András Kuti, József Váncza
2017	J	`jnl`	Asymptotic properties of SPS confidence regions. Autom. Erik Weyer, Marco Claudio Campi, Balázs Csanád Csáji
2016	J	`jnl`	Online Learning for Aggregating Forecasts in Renewable Energy Systems. ERCIM News Balázs Csanád Csáji, András Kovács, József Váncza
2016	A	`conf`	Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models. AISTATS Balázs Csanád Csáji
2016	—	`conf`	Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques. CDC Algo Carè, Balázs Csanád Csáji, Marco C. Campi
2015	—	`conf`	Closed-loop applicability of the Sign-Perturbed Sums method. CDC Balázs Csanád Csáji, Erik Weyer
2015	J	`jnl`	Cooperative Control in Production and Logistics. CoRR László Monostori, Paul Valckenaers, Alexandre Dolgui, Hervé Panetto, Mietek Brdys, Balázs Csanád Csáji
2015	J	`jnl`	Cooperative control in production and logistics. Annu. Rev. Control. László Monostori, Paul Valckenaers, Alexandre Dolgui, Hervé Panetto, Mietek Brdys, Balázs Csanád Csáji
2015	—	`conf`	Sign-Perturbed Sums (SPS) with instrumental variables for the identification of ARX systems. CDC Valerio Volpe, Balázs Csanád Csáji, Algo Carè, Erik Weyer, Marco C. Campi
2015	J	`jnl`	Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models. IEEE Trans. Signal Process. Balázs Csanád Csáji, Marco C. Campi, Erik Weyer
2014	J	`jnl`	Adaptive Stochastic Resource Control: A Machine Learning Approach. CoRR Balázs Csanád Csáji, László Monostori
2014	—	`conf`	Adaptive aggregated predictions for renewable energy systems. ADPRL Balázs Csanád Csáji, András Kovács, József Váncza
2014	J	`jnl`	Monitoring and Controlling Energy-positive Public Lighting: The E+grid System. ERCIM News Balázs Csanád Csáji, Borbála Háy, András Kovács, Gianfranco Pedone, Tibor Révész, József Váncza
2014	J	`jnl`	PageRank optimization by edge selection. Discret. Appl. Math. Balázs Csanád Csáji, Raphaël M. Jungers, Vincent D. Blondel
2014	—	`conf`	Strong consistency of the Sign-Perturbed Sums method. CDC Balázs Csanád Csáji, Marco C. Campi, Erik Weyer
2013	—	`conf`	Guaranteed non-asymptotic confidence ellipsoids for FIR systems. CDC Erik Weyer, Balázs Csanád Csáji, Marco C. Campi
2012	J	`jnl`	Exploring the Mobility of Mobile Phone Users CoRR Balázs Csanád Csáji, Arnaud Browet, Vincent A. Traag, Jean-Charles Delvenne, Etienne Huens, Paul Van Dooren, Zbigniew Smoreda, Vincent D. Blondel
2012	—	`conf`	Sign-perturbed sums (SPS): A method for constructing exact finite-sample confidence regions for general linear systems. CDC Balázs Csanád Csáji, Marco C. Campi, Erik Weyer
2011	—	`conf`	System identification with binary observations by stochastic approximation and active learning. CDC/ECC Balázs Csanád Csáji, Erik Weyer
2010	B	`conf`	PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation. ALT Balázs Csanád Csáji, Raphaël M. Jungers, Vincent D. Blondel
2010	J	`jnl`	Towards adaptive and digital manufacturing. Annu. Rev. Control. László Monostori, Balázs Csanád Csáji, Botond Kádár, András Pfeiffer, Elisabeta Ilie Zudor, Zsolt Kemény, Marcell Szathmári
2009	—	`—`	Adaptive Resource Control Balázs Csanád Csáji
2009	J	`jnl`	PageRank Optimization by Edge Selection CoRR Balázs Csanád Csáji, Raphaël M. Jungers, Vincent D. Blondel
2008	J	`jnl`	Adaptive Stochastic Resource Control: A Machine Learning Approach. J. Artif. Intell. Res. Balázs Csanád Csáji, László Monostori
2008	J	`jnl`	Value Function Based Reinforcement Learning in Changing Markovian Environments. J. Mach. Learn. Res. Balázs Csanád Csáji, László Monostori
2006	A*	`conf`	Adaptive Sampling Based Large-Scale Stochastic Resource Control. AAAI Balázs Csanád Csáji, László Monostori
2006	J	`jnl`	Reinforcement learning in a distributed market-based production control system. Adv. Eng. Informatics Balázs Csanád Csáji, László Monostori, Botond Kádár
2005	—	`conf`	Stochastic Reactive Production Scheduling by Multi-agent Based Asynchronous Approximate Dynamic Programming. CEEMAS Balázs Csanád Csáji, László Monostori
2004	—	`conf`	Efficient Clothing Fitting from Data. WSCG Marco Gillies, Daniel Ballin, Balázs Csanád Csáji
2004	C	`conf`	On the Automation of Similarity Information Maintenance in Flexible Query Answering Systems. DEXA Balázs Csanád Csáji, Josef Küng, Jürgen Palkoska, Roland R. Wagner
2003	—	`conf`	Improving Multi-agent Based Scheduling by Neurodynamic Programming. HoloMAS Balázs Csanád Csáji, Botond Kádár, László Monostori