Branislav Kveton

2.5k total citations
68 papers, 672 citations indexed

About

Branislav Kveton is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Branislav Kveton has authored 68 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 34 papers in Management Science and Operations Research and 21 papers in Computer Networks and Communications. Recurrent topics in Branislav Kveton's work include Advanced Bandit Algorithms Research (34 papers), Machine Learning and Algorithms (18 papers) and Optimization and Search Problems (17 papers). Branislav Kveton is often cited by papers focused on Advanced Bandit Algorithms Research (34 papers), Machine Learning and Algorithms (18 papers) and Optimization and Search Problems (17 papers). Branislav Kveton collaborates with scholars based in United States, Germany and Canada. Branislav Kveton's co-authors include Azin Ashkan, Zheng Wen, Miloš Hauskrecht, Csaba Szepesvári, Shlomo Berkovsky, Wen Zheng, Hung Bui, Nadia Fawaz, Jaya Kawale and Carlos Guestrin and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Software and Computer Communications.

In The Last Decade

Branislav Kveton

65 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Branislav Kveton United States 13 428 273 215 183 95 68 672
Lev Reyzin United States 8 379 0.9× 254 0.9× 117 0.5× 74 0.4× 82 0.9× 30 589
Nodira Khoussainova United States 10 216 0.5× 160 0.6× 315 1.5× 234 1.3× 33 0.3× 13 569
Zohar Karnin United States 13 281 0.7× 123 0.5× 101 0.5× 112 0.6× 21 0.2× 39 478
Moheb R. Girgis Egypt 14 238 0.6× 65 0.2× 275 1.3× 531 2.9× 33 0.3× 46 874
Tor Lattimore Canada 9 315 0.7× 376 1.4× 178 0.8× 36 0.2× 130 1.4× 32 630
Andrea Pugliese Italy 18 409 1.0× 45 0.2× 434 2.0× 289 1.6× 159 1.7× 87 886
Mauro Sozio France 14 499 1.2× 68 0.2× 369 1.7× 204 1.1× 17 0.2× 33 928
Changyu Dong United Kingdom 18 1.0k 2.4× 38 0.1× 234 1.1× 495 2.7× 63 0.7× 56 1.3k
Justin Betteridge United States 7 1.4k 3.3× 233 0.9× 66 0.3× 312 1.7× 16 0.2× 11 1.6k

Countries citing papers authored by Branislav Kveton

Since Specialization
Citations

This map shows the geographic impact of Branislav Kveton'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 Branislav Kveton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Branislav Kveton more than expected).

Fields of papers citing papers by Branislav Kveton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Branislav Kveton. 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 Branislav Kveton. The network helps show where Branislav Kveton may publish in the future.

Co-authorship network of co-authors of Branislav Kveton

This figure shows the co-authorship network connecting the top 25 collaborators of Branislav Kveton. A scholar is included among the top collaborators of Branislav Kveton 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 Branislav Kveton. Branislav Kveton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kveton, Branislav, et al.. (2023). Towards Sequential Counterfactual Learning to Rank. 122–128. 1 indexed citations
2.
Kveton, Branislav, et al.. (2023). Trending Now: Modeling Trend Recommendations. 294–305. 1 indexed citations
3.
Kveton, Branislav, et al.. (2023). Meta-Learning for Simple Regret Minimization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6709–6717. 1 indexed citations
4.
Yu, Tong, Branislav Kveton, Zheng Wen, Ruiyi Zhang, & Ole J. Mengshoel. (2020). Graphical Models Meet Bandits: A Variational Thompson Sampling Approach.. International Conference on Machine Learning. 10902–10912. 2 indexed citations
5.
Kveton, Branislav, Martin Mladenov, Chih‐Wei Hsu, et al.. (2020). Differentiable Meta-Learning in Contextual Bandits.. arXiv (Cornell University). 1 indexed citations
6.
Boutilier, Craig, Chih‐Wei Hsu, Branislav Kveton, et al.. (2020). Differentiable Meta-Learning of Bandit Policies.. Neural Information Processing Systems. 33. 2122–2134. 4 indexed citations
7.
Kveton, Branislav, Tor Lattimore, Ilya Markov, et al.. (2019). BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. UvA-DARE (University of Amsterdam). 196–206. 1 indexed citations
8.
Kveton, Branislav, Zheng Wen, Azin Ashkan, & Csaba Szepesvári. (2015). Combinatorial cascading bandits. arXiv (Cornell University). 28. 1450–1458. 24 indexed citations
9.
Ashkan, Azin, Branislav Kveton, Shlomo Berkovsky, & Wen Zheng. (2015). Optimal greedy diversity for recommendation. International Conference on Artificial Intelligence. 1742–1748. 37 indexed citations
10.
Kawale, Jaya, et al.. (2015). Efficient Thompson sampling for online matrix-factorization recommendation. Warwick Research Archive Portal (University of Warwick). 28. 1297–1305. 54 indexed citations
11.
Kveton, Branislav, et al.. (2014). Matroid bandits: fast combinatorial optimization with learning. Uncertainty in Artificial Intelligence. 420–429. 27 indexed citations
12.
Kveton, Branislav, et al.. (2013). Minimal Interaction Search: Multi-Way Search with Item Categories. National Conference on Artificial Intelligence. 9–15. 5 indexed citations
13.
Gabillon, Victor, Branislav Kveton, Zheng Wen, Brian Eriksson, & S. Muthukrishnan. (2013). Adaptive Submodular Maximization in Bandit Setting. neural information processing systems. 26. 2697–2705. 20 indexed citations
14.
Kveton, Branislav, et al.. (2011). Automatic identity inference for smart TVs. National Conference on Artificial Intelligence. 31–37. 1 indexed citations
15.
Kveton, Branislav, et al.. (2010). Online Semi-Supervised Learning on Quantized Graphs. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
16.
Kveton, Branislav, et al.. (2010). Automatic tuning of interactive perception applications. arXiv (Cornell University). 743–751. 3 indexed citations
17.
Kveton, Branislav, Jia Yuan Yu, Georgios Theocharous, & Shie Mannor. (2008). A Lazy Approach to Online Learning with Constraints.. 1 indexed citations
18.
Kveton, Branislav & Miloš Hauskrecht. (2006). Solving factored MDPs with exponential-family transition models. International Conference on Automated Planning and Scheduling. 114–120. 9 indexed citations
19.
Kveton, Branislav & Miloš Hauskrecht. (2005). An MCMC approach to solving hybrid factored MDPs. International Joint Conference on Artificial Intelligence. 1346–1351. 12 indexed citations
20.
Hauskrecht, Miloš & Branislav Kveton. (2003). Linear Program Approximations for Factored Continuous-State Markov Decision Processes. Neural Information Processing Systems. 16. 895–902. 27 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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