András Antos

1.3k total citations
20 papers, 501 citations indexed

About

András Antos is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, András Antos has authored 20 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Computer Networks and Communications. Recurrent topics in András Antos's work include Machine Learning and Algorithms (11 papers), Optimization and Search Problems (5 papers) and Advanced Bandit Algorithms Research (5 papers). András Antos is often cited by papers focused on Machine Learning and Algorithms (11 papers), Optimization and Search Problems (5 papers) and Advanced Bandit Algorithms Research (5 papers). András Antos collaborates with scholars based in Hungary, Canada and France. András Antos's co-authors include Csaba Szepesvári, Ioannis Kontoyiannis, Rémi Munos, András György, László Györfi, Gergely Neu, Luc Devroye, Gábor Lugosi, Varun Grover and Gábor Bartók and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

András Antos

17 papers receiving 464 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
András Antos Hungary	10	344	145	89	73	73	20	501
Lev Reyzin United States	8	379 1.1×	254 1.8×	117 1.3×	50 0.7×	34 0.5×	30	589
Manfred Jaeger Denmark	13	416 1.2×	78 0.5×	75 0.8×	86 1.2×	22 0.3×	43	575
Milan Studený Czechia	15	566 1.6×	120 0.8×	60 0.7×	225 3.1×	85 1.2×	52	690
Zeyuan Allen-Zhu United States	11	301 0.9×	61 0.4×	74 0.8×	50 0.7×	28 0.4×	27	433
M. Kraetzl Australia	11	139 0.4×	34 0.2×	172 1.9×	40 0.5×	27 0.4×	39	448
Kiran R. Bhutani United States	9	191 0.6×	421 2.9×	51 0.6×	270 3.7×	32 0.4×	26	606
Alexander Ivrii United States	9	268 0.8×	39 0.3×	49 0.6×	113 1.5×	14 0.2×	21	477
Adam J. Grove United States	18	1.2k 3.4×	138 1.0×	114 1.3×	237 3.2×	28 0.4×	35	1.3k
Desh Ranjan United States	10	182 0.5×	37 0.3×	186 2.1×	187 2.6×	56 0.8×	30	500
Yunzhang Zhu United States	10	174 0.5×	47 0.3×	19 0.2×	20 0.3×	220 3.0×	19	492

Countries citing papers authored by András Antos

Since Specialization

Citations

This map shows the geographic impact of András Antos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by András Antos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Antos more than expected).

Fields of papers citing papers by András Antos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by András Antos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by András Antos. The network helps show where András Antos may publish in the future.

Co-authorship network of co-authors of András Antos

This figure shows the co-authorship network connecting the top 25 collaborators of András Antos. A scholar is included among the top collaborators of András Antos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with András Antos. András Antos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Carpentier, Alexandra, Rémi Munos, & András Antos. (2015). Adaptive strategy for stratified Monte Carlo sampling. 16(1). 2231–2271.

Neu, Gergely, András György, Csaba Szepesvári, & András Antos. (2014). Online Markov Decision Processes Under Bandit Feedback. IEEE Transactions on Automatic Control. 59(3). 676–691. 21 indexed citations

Antos, András, Gábor Bartók, Dávid Pál, & Csaba Szepesvári. (2012). Toward a classification of finite partial-monitoring games. Theoretical Computer Science. 473. 77–99. 8 indexed citations

Antos, András. (2012). On Codecell Convexity of Optimal Multiresolution Scalar Quantizers for Continuous Sources. IEEE Transactions on Information Theory. 58(2). 1147–1157. 2 indexed citations

Neu, Gergely, András Antos, András György, & Csaba Szepesvári. (2010). Online Markov Decision Processes under Bandit Feedback. SZTAKI Publication Repository (Hungarian Academy of Sciences). 23. 1804–1812. 38 indexed citations

Antos, András, Varun Grover, & Csaba Szepesvári. (2010). Active learning in heteroscedastic noise. Theoretical Computer Science. 411(29-30). 2712–2728. 14 indexed citations

Antos, András, Csaba Szepesvári, & Rémi Munos. (2007). Fitted Q-iteration in continuous action-space MDPs. HAL (Le Centre pour la Communication Scientifique Directe). 20. 9–16. 69 indexed citations

Antos, András, Csaba Szepesvári, & Rémi Munos. (2007). Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path. Machine Learning. 71(1). 89–129. 100 indexed citations

Antos, András, Csaba Szepesvári, & Rémi Munos. (2007). Value-Iteration Based Fitted Policy Iteration: Learning with a Single Trajectory. 6. 330–337. 17 indexed citations

10.

Antos, András, László Györfi, & András György. (2005). Individual Convergence Rates in Empirical Vector Quantizer Design. IEEE Transactions on Information Theory. 51(11). 4013–4022. 18 indexed citations

11.

Antos, András. (2005). Improved Minimax Bounds on the Test and Training Distortion of Empirically Designed Vector Quantizers. IEEE Transactions on Information Theory. 51(11). 4022–4032. 11 indexed citations

12.

Antos, András, László Györfi, & András György. (2004). Improved convergence rates in empirical vector quantizer design. 300–300. 4 indexed citations

13.

Antos, András. (2002). On nonparametric estimates of the expectation. SZTAKI Publication Repository (Hungarian Academy of Sciences).

14.

Antos, András. (2002). Lower bounds for the rate of convergence in nonparametric pattern recognition. Theoretical Computer Science. 284(1). 3–24. 1 indexed citations

15.

Antos, András & Ioannis Kontoyiannis. (2002). Estimating the entropy of discrete distributions. 45–45. 4 indexed citations

16.

Antos, András & Ioannis Kontoyiannis. (2001). Convergence properties of functional estimates for discrete distributions. Random Structures and Algorithms. 19(3-4). 163–193. 149 indexed citations

17.

Antos, András, László Györfi, & Michael Köhler. (2000). Lower bounds on the rate of convergence of nonparametric regression estimates. Journal of Statistical Planning and Inference. 83(1). 91–100. 6 indexed citations

18.

Antos, András, Luc Devroye, & László Györfi. (1999). Lower bounds for Bayes error estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 21(7). 643–645. 28 indexed citations

19.

Antos, András & Gábor Lugosi. (1998). Strong Minimax Lower Bounds for Learning. Machine Learning. 30(1). 31–56. 9 indexed citations

20.

Antos, András & Gábor Lugosi. (1996). Strong minimax lower bounds for learning. 303–309. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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