Balázs Csanád Csáji

According to our database, Balázs Csanád Csáji authored at least 50 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Finite-Sample Identification of Linear Regression Models With Residual-Permuted Sums.

Szabolcs Szentpéteri, Balázs Csanád Csáji

IEEE Control. Syst. Lett., 2024

Sample Complexity of the Sign-Perturbed Sums Method.

Szabolcs Szentpéteri, Balázs Csanád Csáji

CoRR, 2024

Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits.

Ambrus Tamás, Szabolcs Szentpéteri, Balázs Csanád Csáji

CoRR, 2024

Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version).

Algo Carè, Erik Weyer, Balázs Csanád Csáji, Marco C. Campi

CoRR, 2024

Sample Complexity of the Sign-Perturbed Sums Identification Method: Scalar Case.

Szabolcs Szentpéteri, Balázs Csanád Csáji

CoRR, 2024

Improving Kernel-Based Nonasymptotic Simultaneous Confidence Bands.

Balázs Csanád Csáji, Bálint Horváth

CoRR, 2024

Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions.

Ambrus Tamás, Szabolcs Szentpéteri, Balázs Csanád Csáji

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Non-asymptotic state-space identification of closed-loop stochastic linear systems using instrumental variables.

Szabolcs Szentpéteri, Balázs Csanád Csáji

Syst. Control. Lett., August, 2023

Robust Independence Tests With Finite Sample Guarantees for Synchronous Stochastic Linear Systems.

Ambrus Tamás, Dániel Ágoston Bálint, Balázs Csanád Csáji

IEEE Control. Syst. Lett., 2023

On rate-optimal classification from non-private and from private data.

Balázs Csanád Csáji, László Györfi, Ambrus Tamás

CoRR, 2023

Distribution-Free Inference for the Regression Function of Binary Classification.

Ambrus Tamás, Balázs Csanád Csáji

CoRR, 2023

Recursive Estimation of Conditional Kernel Mean Embeddings.

Ambrus Tamás, Balázs Csanád Csáji

CoRR, 2023

2022

Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings.

Ambrus Tamás, Balázs Csanád Csáji

IEEE Control. Syst. Lett., 2022

Nonparametric, Nonasymptotic Confidence Bands With Paley-Wiener Kernels for Band-Limited Functions.

Balázs Csanád Csáji, Bálint Horváth

IEEE Control. Syst. Lett., 2022

2021

Facing undermodelling in Sign-Perturbed-Sums system identification.

Algo Carè, Marco Claudio Campi, Balázs Csanád Csáji, Erik Weyer

Syst. Control. Lett., 2021

2019

Distribution-free uncertainty quantification for kernel methods by gradient perturbations.

Balázs Csanád Csáji, Krisztián Balázs Kis

Mach. Learn., 2019

On the Poisson Equation of Parameter-Dependent Markov Chains.

Algo Carè, Balázs Csanád Csáji, Balázs Gerencsér, László Gerencsér, Miklós Rásonyi

CoRR, 2019

Semi-Parametric Uncertainty Bounds for Binary Classification.

Balázs Csanád Csáji, Ambrus Tamás

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Parameter-Dependent Poisson Equations: Tools for Stochastic Approximation in a Markovian Framework.

Algo Carè, Balázs Csanád Csáji, Balázs Gerencsér, László Gerencsér, Miklós Rásonyi

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Finite-Sample System Identification: An Overview and a New Correlation Method.

Algo Carè, Balázs Csanád Csáji, Marco C. Campi, Erik Weyer

IEEE Control. Syst. Lett., 2018

Uncertainty Quantification for Kernel Methods.

Balázs Csanád Csáji, Krisztián Balázs Kis

CoRR, 2018

Wireless Multi-Sensor Networks for Smart Cities: A Prototype System with Statistical Data Analysis.

Balázs Csanád Csáji, Zsolt Kemény, Gianfranco Pedone, András Kuti, József Váncza

CoRR, 2018

Asymptotic Analysis of the LMS Algorithm with Momentum.

László Gerencsér, Balázs Csanád Csáji, Sotirios Sabanis

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Asymptotic properties of SPS confidence regions.

Erik Weyer, Marco Claudio Campi, Balázs Csanád Csáji

Autom., 2017

2016

Online Learning for Aggregating Forecasts in Renewable Energy Systems.

Balázs Csanád Csáji, András Kovács, József Váncza

ERCIM News, 2016

Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques.

Algo Carè, Balázs Csanád Csáji, Marco C. Campi

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models.

Balázs Csanád Csáji

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models.

Balázs Csanád Csáji, Marco C. Campi, Erik Weyer

IEEE Trans. Signal Process., 2015

Cooperative control in production and logistics.

László Monostori, Paul Valckenaers, Alexandre Dolgui, Hervé Panetto, Mietek Brdys, Balázs Csanád Csáji

Annu. Rev. Control., 2015

Sign-Perturbed Sums (SPS) with instrumental variables for the identification of ARX systems.

Valerio Volpe, Balázs Csanád Csáji, Algo Carè, Erik Weyer, Marco C. Campi

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Closed-loop applicability of the Sign-Perturbed Sums method.

Balázs Csanád Csáji, Erik Weyer

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Monitoring and Controlling Energy-positive Public Lighting: The E+grid System.

Balázs Csanád Csáji, Borbála Háy, András Kovács, Gianfranco Pedone, Tibor Révész, József Váncza

ERCIM News, 2014

PageRank optimization by edge selection.

Balázs Csanád Csáji, Raphaël M. Jungers, Vincent D. Blondel

Discret. Appl. Math., 2014

Strong consistency of the Sign-Perturbed Sums method.

Balázs Csanád Csáji, Marco C. Campi, Erik Weyer

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Adaptive aggregated predictions for renewable energy systems.

Balázs Csanád Csáji, András Kovács, József Váncza

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013

Guaranteed non-asymptotic confidence ellipsoids for FIR systems.

Erik Weyer, Balázs Csanád Csáji, Marco C. Campi

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Exploring the Mobility of Mobile Phone Users

Balázs Csanád Csáji, Arnaud Browet, Vincent A. Traag, Jean-Charles Delvenne, Etienne Huens, Paul Van Dooren, Zbigniew Smoreda, Vincent D. Blondel

CoRR, 2012

Sign-perturbed sums (SPS): A method for constructing exact finite-sample confidence regions for general linear systems.

Balázs Csanád Csáji, Marco C. Campi, Erik Weyer

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

System identification with binary observations by stochastic approximation and active learning.

Balázs Csanád Csáji, Erik Weyer

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Towards adaptive and digital manufacturing.

László Monostori, Balázs Csanád Csáji, Botond Kádár, András Pfeiffer, Elisabeta Ilie Zudor, Zsolt Kemény, Marcell Szathmári

Annu. Rev. Control., 2010

PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation.

Balázs Csanád Csáji, Raphaël M. Jungers, Vincent D. Blondel

Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009

Adaptive Resource Control

Balázs Csanád Csáji

PhD thesis, 2009

2008

Value Function Based Reinforcement Learning in Changing Markovian Environments.

Balázs Csanád Csáji, László Monostori

J. Mach. Learn. Res., 2008

Adaptive Stochastic Resource Control: A Machine Learning Approach.

Balázs Csanád Csáji, László Monostori

J. Artif. Intell. Res., 2008

2006

Reinforcement learning in a distributed market-based production control system.

Balázs Csanád Csáji, László Monostori, Botond Kádár

Adv. Eng. Informatics, 2006

Adaptive Sampling Based Large-Scale Stochastic Resource Control.

Balázs Csanád Csáji, László Monostori

Proceedings of the Proceedings, 2006

2005

Stochastic Reactive Production Scheduling by Multi-agent Based Asynchronous Approximate Dynamic Programming.

Balázs Csanád Csáji, László Monostori

Proceedings of the Multi-Agent Systems and Applications IV, 2005

2004

Efficient Clothing Fitting from Data.

Marco Gillies, Daniel Ballin, Balázs Csanád Csáji

Proceedings of the 12-th International Conference in Central Europe on Computer Graphics, 2004

On the Automation of Similarity Information Maintenance in Flexible Query Answering Systems.

Balázs Csanád Csáji, Josef Küng, Jürgen Palkoska, Roland R. Wagner

Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

2003

Improving Multi-agent Based Scheduling by Neurodynamic Programming.

Balázs Csanád Csáji, Botond Kádár, László Monostori

Proceedings of the Holonic and Multi-Agent Systems for Manufacturing, 2003