Aurélien Garivier

3.2k total citations
25 papers, 336 citations indexed

About

Aurélien Garivier is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Aurélien Garivier has authored 25 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 6 papers in Statistics and Probability. Recurrent topics in Aurélien Garivier's work include Advanced Bandit Algorithms Research (8 papers), Machine Learning and Algorithms (6 papers) and Bayesian Methods and Mixture Models (4 papers). Aurélien Garivier is often cited by papers focused on Advanced Bandit Algorithms Research (8 papers), Machine Learning and Algorithms (6 papers) and Bayesian Methods and Mixture Models (4 papers). Aurélien Garivier collaborates with scholars based in France, Brazil and Sweden. Aurélien Garivier's co-authors include Sarah Filippi, Olivier Cappé, Éric Moulines, Csaba Szepesvári, Randal Douc, Jimmy Olsson, Pierre Ménard, Gilles Stoltz, Emilie Kaufmann and Victor Picheny and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Aurélien Garivier

22 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurélien Garivier France 9 223 146 76 48 40 25 336
Tomer Koren Israel 9 202 0.9× 167 1.1× 60 0.8× 28 0.6× 13 0.3× 30 309
Samantha Hansen United States 4 244 1.1× 95 0.7× 23 0.3× 20 0.4× 23 0.6× 6 392
Darius Braziunas Canada 10 167 0.7× 106 0.7× 64 0.8× 10 0.2× 6 0.1× 10 347
Relu Patrascu Canada 8 180 0.8× 88 0.6× 73 1.0× 10 0.2× 8 0.2× 10 273
Roberto Torres United States 7 121 0.5× 36 0.2× 38 0.5× 6 0.1× 10 0.3× 10 281
Nadia Oudjane France 9 153 0.7× 30 0.2× 47 0.6× 79 1.6× 51 1.3× 30 363
Aivars Celmiņš United States 7 225 1.0× 259 1.8× 78 1.0× 49 1.0× 288 7.2× 18 488
Paul-André Monney Switzerland 9 202 0.9× 96 0.7× 21 0.3× 8 0.2× 27 0.7× 16 299
Wojciech Kotłowski Poland 10 317 1.4× 125 0.9× 13 0.2× 7 0.1× 39 1.0× 35 470

Countries citing papers authored by Aurélien Garivier

Since Specialization
Citations

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

Fields of papers citing papers by Aurélien Garivier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélien Garivier

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélien Garivier. A scholar is included among the top collaborators of Aurélien Garivier 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 Aurélien Garivier. Aurélien Garivier 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.
Garivier, Aurélien & Emilie Kaufmann. (2021). Nonasymptotic sequential tests for overlapping hypotheses applied to near-optimal arm identification in bandit models. Sequential Analysis. 40(1). 61–96. 6 indexed citations
2.
Borgnat, Pierre, et al.. (2020). Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening. arXiv (Cornell University). 1 indexed citations
3.
Picheny, Victor, et al.. (2020). A review on quantile regression for stochastic computer experiments. Reliability Engineering & System Safety. 201. 106858–106858. 20 indexed citations
4.
Besse, Philippe, et al.. (2018). L’IA du Quotidien peut elle être Éthique ?. 6(3). 9–31. 1 indexed citations
5.
Kaufmann, Emilie & Aurélien Garivier. (2017). Learning the distribution with largest mean: two bandit frameworks. SHILAP Revista de lepidopterología. 60. 114–131. 5 indexed citations
6.
Garivier, Aurélien, Pierre Ménard, & Gilles Stoltz. (2016). Explore First, Exploit Next: The True Shape of Regret in Bandit Problems. HAL (Le Centre pour la Communication Scientifique Directe). 29 indexed citations
7.
Garivier, Aurélien, et al.. (2016). Algorithme de bandit et obsolescence : un modèle pour la recommandation. 1 indexed citations
8.
Gamboa, Fabrice, et al.. (2016). Bregman superquantiles. Estimation methodsand applications. SHILAP Revista de lepidopterología. 4(1). 2 indexed citations
9.
Garivier, Aurélien, et al.. (2015). Algorithmes de bandits pour la recommandation à tirages multiples. HAL (Le Centre pour la Communication Scientifique Directe). 18(2-3). 59–79.
10.
Besse, Philippe, Aurélien Garivier, & Jean–Michel Loubes. (2014). Big Data Analytics - Retour vers le Futur 3; De Statisticien \\`a Data\n Scientist. arXiv (Cornell University).
11.
Galves, Antonio, et al.. (2012). Joint Estimation of Intersecting Context Tree Models. Scandinavian Journal of Statistics. 40(2). 344–362.
12.
Garivier, Aurélien. (2011). A Propp-Wilson perfect simulation scheme for processes with long memory. arXiv (Cornell University). 1 indexed citations
13.
Garivier, Aurélien & Florencia Leonardi. (2011). Context tree selection: A unifying view. Stochastic Processes and their Applications. 121(11). 2488–2506. 10 indexed citations
14.
Filippi, Sarah, Olivier Cappé, Aurélien Garivier, & Csaba Szepesvári. (2010). Parametric Bandits: The Generalized Linear Case. Neural Information Processing Systems. 23. 586–594. 105 indexed citations
15.
Filippi, Sarah, Olivier Cappé, & Aurélien Garivier. (2010). Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds. IEEE Journal of Selected Topics in Signal Processing. 5(1). 68–76. 11 indexed citations
16.
Garivier, Aurélien. (2009). A Lower-Bound for the Maximin Redundancy in Pattern Coding. Entropy. 11(4). 634–642. 5 indexed citations
17.
Clémençon, Stéphan, Aurélien Garivier, & Jessica Tressou. (2009). Pseudo-regenerative block-bootstrap for hidden Markov chains. HAL (Le Centre pour la Communication Scientifique Directe). 27. 465–468. 2 indexed citations
18.
Chambaz, Antoine, Aurélien Garivier, & Élisabeth Gassiat. (2008). A minimum description length approach to hidden Markov models with Poisson and Gaussian emissions. Application to order identification. Journal of Statistical Planning and Inference. 139(3). 962–977. 12 indexed citations
19.
Garivier, Aurélien, et al.. (2008). On optimal sampling for particle filtering in digital communication. 634–638. 5 indexed citations
20.

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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