András Antos

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 1

Top Topics

Active Learning

Decision Processes

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Autom. Control.

Publications

András Millinghoffer, Mátyás Antal, Márk Marosi, András Formanek, András Antos, Péter Antal
Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients. AIME (1) (2024)
Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos, Peter Auer, András Antos
Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits. CoRR (2015)
Alexandra Carpentier, Rémi Munos, András Antos
Adaptive strategy for stratified Monte Carlo sampling. J. Mach. Learn. Res. 16 (2015)
Gergely Neu, András György, Csaba Szepesvári, András Antos
Online Markov Decision Processes Under Bandit Feedback. IEEE Trans. Autom. Control. 59 (3) (2014)
András Antos, Gábor Bartók, Dávid Pál, Csaba Szepesvári
Toward a classification of finite partial-monitoring games. Theor. Comput. Sci. 473 (2013)
András Antos
On Codecell Convexity of Optimal Multiresolution Scalar Quantizers for Continuous Sources. IEEE Trans. Inf. Theory 58 (2) (2012)
András Antos, Gábor Bartók, Dávid Pál, Csaba Szepesvári
Toward a Classification of Finite Partial-Monitoring Games CoRR (2011)
András Antos, Gábor Bartók, Csaba Szepesvári
Non-trivial two-armed partial-monitoring games are bandits CoRR (2011)
Gergely Neu, András György, Csaba Szepesvári, András Antos
Online Markov Decision Processes under Bandit Feedback. NIPS (2010)
András Antos, Varun Grover, Csaba Szepesvári
Active learning in heteroscedastic noise. Theor. Comput. Sci. 411 (29-30) (2010)
András Antos, Csaba Szepesvári, Rémi Munos
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path. Mach. Learn. 71 (1) (2008)
András Antos, Varun Grover, Csaba Szepesvári
Active Learning in Multi-armed Bandits. ALT (2008)
András Antos, Rémi Munos, Csaba Szepesvári
Fitted Q-iteration in continuous action-space MDPs. NIPS (2007)
András Antos, Csaba Szepesvári, Rémi Munos
Learning Near-Optimal Policies with Bellman-Residual Minimization Based Fitted Policy Iteration and a Single Sample Path. COLT (2006)
András Antos
Improved Minimax Bounds on the Test and Training Distortion of Empirically Designed Vector Quantizers. COLT (2005)
András Antos, László Györfi, András György
Individual convergence rates in empirical vector quantizer design. IEEE Trans. Inf. Theory 51 (11) (2005)
András Antos
Improved minimax bounds on the test and training distortion of empirically designed vector quantizers. IEEE Trans. Inf. Theory 51 (11) (2005)
András Antos, László Györfi, András György
Improved convergence rates in empirical vector quantizer design. ISIT (2004)
András Antos, Balázs Kégl, Tamás Linder, Gábor Lugosi
Data-dependent margin-based generalization bounds for classification. J. Mach. Learn. Res. 3 (2002)
András Antos
Lower bounds for the rate of convergence in nonparametric pattern recognition. Theor. Comput. Sci. 284 (1) (2002)
András Antos, Luc Devroye, László Györfi
Lower Bounds for Bayes Error Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 21 (7) (1999)
András Antos
Lower Bounds on the Rate of Convergence of Nonparametric Pattern Recognition. EuroCOLT (1999)
András Antos, Gábor Lugosi
Strong Minimax Lower Bounds for Learning. Mach. Learn. 30 (1) (1998)
András Antos, Gábor Lugosi
Strong Minimax Lower Bounds for Learning. COLT (1996)