Pierre Alquier

1.2k total citations
33 papers, 294 citations indexed

About

Pierre Alquier is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Pierre Alquier has authored 33 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 10 papers in Computational Mechanics. Recurrent topics in Pierre Alquier's work include Statistical Methods and Inference (17 papers), Sparse and Compressive Sensing Techniques (10 papers) and Machine Learning and Algorithms (8 papers). Pierre Alquier is often cited by papers focused on Statistical Methods and Inference (17 papers), Sparse and Compressive Sensing Techniques (10 papers) and Machine Learning and Algorithms (8 papers). Pierre Alquier collaborates with scholars based in France, Japan and United Kingdom. Pierre Alquier's co-authors include Nial Friel, Richard G. Everitt, Benjamin Guedj, Xiaoyin Li, Olivier Wintenberger, Guillaume Lecué, Mohamed Hebiri, Nicolás Chopin, James Ridgway and Cristina Butucea and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Physical Review A.

In The Last Decade

Pierre Alquier

27 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Alquier France 11 163 142 47 34 29 33 294
Yiqiao Zhong United States 7 79 0.5× 98 0.7× 81 1.7× 24 0.7× 9 0.3× 14 295
Stanislav Minsker United States 8 111 0.7× 139 1.0× 55 1.2× 22 0.6× 15 0.5× 21 276
Jianming Ye China 6 77 0.5× 151 1.1× 20 0.4× 53 1.6× 29 1.0× 11 329
Adityanand Guntuboyina United States 10 105 0.6× 216 1.5× 93 2.0× 31 0.9× 28 1.0× 27 332
Jacques Dauxois France 8 97 0.6× 273 1.9× 20 0.4× 34 1.0× 34 1.2× 14 423
Yannick Baraud France 10 128 0.8× 322 2.3× 45 1.0× 27 0.8× 49 1.7× 20 408
Claire Lacour France 9 74 0.5× 182 1.3× 19 0.4× 25 0.7× 33 1.1× 21 255

Countries citing papers authored by Pierre Alquier

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Alquier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Alquier

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Alquier. A scholar is included among the top collaborators of Pierre Alquier 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 Pierre Alquier. Pierre Alquier 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.
Durante, Daniele, et al.. (2025). Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity. Aisberg (University of Bergamo). 53(1).
2.
Alquier, Pierre, et al.. (2024). Dimension-free bounds for sums of dependent matrices and operators with heavy-tailed distributions. Electronic Journal of Statistics. 18(1).
3.
4.
Alquier, Pierre. (2024). User-friendly Introduction to PAC-Bayes Bounds. arXiv (Cornell University). 17(2). 174–303. 16 indexed citations
5.
Fan, Xiequan, Pierre Alquier, & Paul Doukhan. (2022). Deviation inequalities for stochastic approximation by averaging. Stochastic Processes and their Applications. 152. 452–485.
6.
Alquier, Pierre, et al.. (2022). Finite sample properties of parametric MMD estimation: Robustness to misspecification and dependence. SPIRE - Sciences Po Institutional REpository. 9 indexed citations
7.
Alquier, Pierre, et al.. (2022). Tight risk bound for high dimensional time series completion. Electronic Journal of Statistics. 16(1).
8.
Alquier, Pierre. (2020). Approximate Bayesian Inference. Entropy. 22(11). 1272–1272. 10 indexed citations
9.
Alquier, Pierre, et al.. (2020). Simultaneous dimension reduction and clustering via the NMF-EM algorithm. Advances in Data Analysis and Classification. 15(1). 231–260. 2 indexed citations
10.
Alquier, Pierre, et al.. (2018). Consistency of variational Bayes inference for estimation and model selection in mixtures. Electronic Journal of Statistics. 12(2). 16 indexed citations
11.
Alquier, Pierre, et al.. (2017). Non-negative matrix factorization as a pre-processing tool for travelers temporal profiles clustering.. The European Symposium on Artificial Neural Networks. 3 indexed citations
12.
Alquier, Pierre & Benjamin Guedj. (2017). An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
13.
Alquier, Pierre & Benjamin Guedj. (2017). Simpler PAC-Bayesian bounds for hostile data. Machine Learning. 107(5). 887–902. 13 indexed citations
14.
Alquier, Pierre, et al.. (2016). Pseudo-Bayesian quantum tomography with rank-adaptation. Journal of Statistical Planning and Inference. 184. 62–76. 13 indexed citations
15.
Alquier, Pierre, et al.. (2014). Bayesian matrix completion: prior specification and consistency. arXiv (Cornell University). 2 indexed citations
16.
Alquier, Pierre & Mohamed Hebiri. (2012). Transductive versions of the LASSO and the Dantzig Selector. Journal of Statistical Planning and Inference. 142(9). 2485–2500. 4 indexed citations
17.
Alquier, Pierre & Mohamed Hebiri. (2011). Generalization of constraints for high dimensional regression problems. Statistics & Probability Letters. 81(12). 1760–1765. 5 indexed citations
18.
Alquier, Pierre. (2008). PAC-Bayesian bounds for randomized empirical risk minimizers. Mathematical Methods of Statistics. 17(4). 279–304. 16 indexed citations
19.
Alquier, Pierre. (2008). LASSO, Iterative Feature Selection and the Correlation Selector: Oracle inequalities and numerical performances. Electronic Journal of Statistics. 2(none). 6 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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