Improving Multi-agent Based Scheduling by Neurodynamic Programming. - Balázs Csanád Csáji; Botond Kádár; László Monostori (HoloMAS, 2003)

On the Automation of Similarity Information Maintenance in Flexible Query Answering Systems. - Balázs Csanád Csáji; Josef Küng; Jürgen Palkoska; Roland R. Wagner (DEXA, 2004)

Efficient Clothing Fitting from Data. - Marco Gillies; Daniel Ballin; Balázs Csanád Csáji (WSCG, 2004)

Stochastic Reactive Production Scheduling by Multi-agent Based Asynchronous Approximate Dynamic Programming. - Balázs Csanád Csáji; László Monostori (CEEMAS, 2005)

Adaptive Sampling Based Large-Scale Stochastic Resource Control. - Balázs Csanád Csáji; László Monostori (AAAI, 2006)

Reinforcement learning in a distributed market-based production control system. - Balázs Csanád Csáji; László Monostori; Botond Kádár (Adv. Eng. Informatics, 2006)

Adaptive Stochastic Resource Control: A Machine Learning Approach. - Balázs Csanád Csáji; László Monostori (J. Artif. Intell. Res., 2008)

Value Function Based Reinforcement Learning in Changing Markovian Environments. - Balázs Csanád Csáji; László Monostori (J. Mach. Learn. Res., 2008)

Adaptive Resource Control - Balázs Csanád Csáji (2009)

PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation. - Balázs Csanád Csáji; Raphaël M. Jungers; Vincent D. Blondel (ALT, 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)

System identification with binary observations by stochastic approximation and active learning. - Balázs Csanád Csáji; Erik Weyer (CDC/ECC, 2011)

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 (CDC, 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)

Guaranteed non-asymptotic confidence ellipsoids for FIR systems. - Erik Weyer; Balázs Csanád Csáji; Marco C. Campi (CDC, 2013)

Adaptive aggregated predictions for renewable energy systems. - Balázs Csanád Csáji; András Kovács; József Váncza (ADPRL, 2014)

Strong consistency of the Sign-Perturbed Sums method. - Balázs Csanád Csáji; Marco C. Campi; Erik Weyer (CDC, 2014)

PageRank optimization by edge selection. - Balázs Csanád Csáji; Raphaël M. Jungers; Vincent D. Blondel (Discret. Appl. Math., 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)

Closed-loop applicability of the Sign-Perturbed Sums method. - Balázs Csanád Csáji; Erik Weyer (CDC, 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 (CDC, 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: 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)

Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models. - Balázs Csanád Csáji (AISTATS, 2016)

Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques. - Algo Carè; Balázs Csanád Csáji; Marco C. Campi (CDC, 2016)

Online Learning for Aggregating Forecasts in Renewable Energy Systems. - Balázs Csanád Csáji; András Kovács; József Váncza (ERCIM News, 2016)

Asymptotic properties of SPS confidence regions. - Erik Weyer; Marco Claudio Campi; Balázs Csanád Csáji (Autom., 2017)

Asymptotic Analysis of the LMS Algorithm with Momentum. - László Gerencsér; Balázs Csanád Csáji; Sotirios Sabanis (CDC, 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)

Uncertainty Quantification for Kernel Methods. - Balázs Csanád Csáji; Krisztián Balázs Kis (CoRR, 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)

Parameter-Dependent Poisson Equations: Tools for Stochastic Approximation in a Markovian Framework. - Algo Carè; Balázs Csanád Csáji; Balázs Gerencsér; László Gerencsér; Miklós Rásonyi (CDC, 2019)

Semi-Parametric Uncertainty Bounds for Binary Classification. - Balázs Csanád Csáji; Ambrus Tamás (CDC, 2019)

On the Poisson Equation of Parameter-Dependent Markov Chains. - Algo Carè; Balázs Csanád Csáji; Balázs Gerencsér; László Gerencsér; Miklós Rásonyi (CoRR, 2019)

Distribution-free uncertainty quantification for kernel methods by gradient perturbations. - Balázs Csanád Csáji; Krisztián Balázs Kis (Mach. Learn., 2019)

Facing undermodelling in Sign-Perturbed-Sums system identification. - Algo Carè; Marco Claudio Campi; Balázs Csanád Csáji; Erik Weyer (Syst. Control. Lett., 2021)

Nonparametric, Nonasymptotic Confidence Bands With Paley-Wiener Kernels for Band-Limited Functions. - Balázs Csanád Csáji; Bálint Horváth (IEEE Control. Syst. Lett., 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)

Recursive Estimation of Conditional Kernel Mean Embeddings. - Ambrus Tamás; Balázs Csanád Csáji (CoRR, 2023)

Distribution-Free Inference for the Regression Function of Binary Classification. - Ambrus Tamás; Balázs Csanád Csáji (CoRR, 2023)

On rate-optimal classification from non-private and from private data. - Balázs Csanád Csáji; László Györfi; Ambrus Tamás (CoRR, 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)

Non-asymptotic state-space identification of closed-loop stochastic linear systems using instrumental variables. - Szabolcs Szentpéteri; Balázs Csanád Csáji (Syst. Control. Lett., 2023)

Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions. - Ambrus Tamás; Szabolcs Szentpéteri; Balázs Csanád Csáji (AISTATS, 2024)

Improving Kernel-Based Nonasymptotic Simultaneous Confidence Bands. - Balázs Csanád Csáji; Bálint Horváth (CoRR, 2024)

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

Finite-Sample Identification of Linear Regression Models With Residual-Permuted Sums. - Szabolcs Szentpéteri; Balázs Csanád Csáji (IEEE Control. Syst. Lett., 2024)

Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits. - Ambrus Tamás; Szabolcs Szentpéteri; Balázs Csanád Csáji (AISTATS, 2025)

Sample complexity of the Sign-Perturbed Sums method. - Szabolcs Szentpéteri; Balázs Csanád Csáji (Autom., 2025)

Derandomizing Simultaneous Confidence Regions for Band-Limited Functions by Improved Norm Bounds and Majority-Voting Schemes. - Balázs Csanád Csáji; Bálint Horváth (IEEE Control. Syst. Lett., 2025)

Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency. - Algo Carè; Erik Weyer; Balázs Csanád Csáji; Marco C. Campi (SIAM J. Control. Optim., 2025)

Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression. - Szabolcs Szentpéteri; Balázs Csanád Csáji (IEEE Trans. Signal Process., 2025)

Single image inpainting and super-resolution with simultaneous uncertainty guarantees by universal reproducing kernels. - Bálint Horváth; Balázs Csanád Csáji (Mach. Learn., 2025)