Guillaume Lecué

1.0k total citations
27 papers, 279 citations indexed

About

Guillaume Lecué is a scholar working on Statistics and Probability, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Guillaume Lecué has authored 27 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 10 papers in Computational Mechanics and 6 papers in Artificial Intelligence. Recurrent topics in Guillaume Lecué's work include Statistical Methods and Inference (14 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced Statistical Methods and Models (6 papers). Guillaume Lecué is often cited by papers focused on Statistical Methods and Inference (14 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced Statistical Methods and Models (6 papers). Guillaume Lecué collaborates with scholars based in France, Israel and Australia. Guillaume Lecué's co-authors include Matthieu Lerasle, Shahar Mendelson, Stéphane Gaïffas, Karine Bertin, Sjoerd Dirksen, Holger Rauhut, Pierre Alquier, Simon Foucart, Pascal Romon and Evgeny Abakumov and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Journal of Mathematical Analysis and Applications.

In The Last Decade

Guillaume Lecué

27 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume Lecué France 10 158 95 87 44 36 27 279
Adityanand Guntuboyina United States 10 216 1.4× 93 1.0× 105 1.2× 31 0.7× 24 0.7× 27 332
Stanislav Minsker United States 8 139 0.9× 55 0.6× 111 1.3× 22 0.5× 19 0.5× 21 276
Pierre Alquier France 11 142 0.9× 47 0.5× 163 1.9× 34 0.8× 17 0.5× 33 294
Yiqiao Zhong United States 7 98 0.6× 81 0.9× 79 0.9× 24 0.5× 8 0.2× 14 295
Ying Cui United States 11 48 0.3× 143 1.5× 43 0.5× 44 1.0× 10 0.3× 27 297
Vasant A. Ubhaya United States 10 115 0.7× 41 0.4× 50 0.6× 13 0.3× 15 0.4× 35 283
Ashwin Pananjady United States 8 58 0.4× 45 0.5× 99 1.1× 20 0.5× 4 0.1× 28 256
Dennis Amelunxen Germany 6 43 0.3× 154 1.6× 35 0.4× 33 0.8× 10 0.3× 9 232

Countries citing papers authored by Guillaume Lecué

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Lecué

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Lecué

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Lecué. A scholar is included among the top collaborators of Guillaume Lecué 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 Guillaume Lecué. Guillaume Lecué 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.
Lecué, Guillaume, et al.. (2024). A geometrical viewpoint on the benign overfitting property of the minimum $$\ell _2$$-norm interpolant estimator and its universality. Probability Theory and Related Fields. 191(3-4). 1401–1484. 1 indexed citations
2.
Lecué, Guillaume, et al.. (2022). On the robustness to adversarial corruption and to heavy-tailed data of the Stahel–Donoho median of means. Information and Inference A Journal of the IMA. 12(2). 814–850. 5 indexed citations
3.
Lecué, Guillaume, et al.. (2022). Optimal robust mean and location estimation via convex programs with respect to any pseudo-norms. Probability Theory and Related Fields. 183(3-4). 997–1025. 5 indexed citations
4.
Lecué, Guillaume, et al.. (2022). Robust sub-Gaussian estimation of a mean vector in nearly linear time. The Annals of Statistics. 50(1). 20 indexed citations
5.
Alquier, Pierre, et al.. (2019). Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions. The Annals of Statistics. 47(4). 19 indexed citations
6.
Lecué, Guillaume, et al.. (2018). Median of means principle as a divide-and-conquer procedure for robustness, sub-sampling and hyper-parameters tuning. arXiv (Cornell University). 1 indexed citations
7.
8.
Lecué, Guillaume & Matthieu Lerasle. (2018). Learning from MOM’s principles: Le Cam’s approach. Stochastic Processes and their Applications. 129(11). 4385–4410. 12 indexed citations
9.
Lecué, Guillaume & Matthieu Lerasle. (2017). Robust machine learning by median-of-means : theory and practice. arXiv (Cornell University). 49 indexed citations
10.
Lecué, Guillaume & Shahar Mendelson. (2017). Regularization and the small-ball method II: complexity dependent error rates. Journal of Machine Learning Research. 18(146). 1–48. 7 indexed citations
11.
Lecué, Guillaume, et al.. (2017). Learning from MOM's principles. arXiv (Cornell University). 1 indexed citations
12.
Foucart, Simon & Guillaume Lecué. (2017). An IHT Algorithm for Sparse Recovery From Subexponential Measurements. IEEE Signal Processing Letters. 24(9). 1280–1283. 9 indexed citations
13.
Lecué, Guillaume & Shahar Mendelson. (2015). Minimax rate of convergence and the performance of empirical risk minimization in phase recovery. Electronic Journal of Probability. 20(none). 6 indexed citations
14.
Lecué, Guillaume & Shahar Mendelson. (2014). Compressed sensing under weak moment assumptions. 1 indexed citations
15.
Lecué, Guillaume & Shahar Mendelson. (2013). On the optimality of the empirical risk minimization procedure for the Convex aggregation problem. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 49(1). 1 indexed citations
16.
Lecué, Guillaume & Shahar Mendelson. (2013). On the optimality of the aggregate with exponential weights for low temperatures. Bernoulli. 19(2). 4 indexed citations
17.
Abakumov, Evgeny, Anne Beaulieu, F. Blanchard, et al.. (2012). The logarithmic Sobolev constant of the lamplighter. Journal of Mathematical Analysis and Applications. 399(2). 576–585. 1 indexed citations
18.
Gaïffas, Stéphane & Guillaume Lecué. (2011). Sharp Oracle Inequalities for High-Dimensional Matrix Prediction. IEEE Transactions on Information Theory. 57(10). 6942–6957. 9 indexed citations
19.
Lecué, Guillaume. (2008). Classification with minimax fast rates for classes of Bayes rules with sparse representation. Electronic Journal of Statistics. 2(none). 5 indexed citations
20.
Gaïffas, Stéphane & Guillaume Lecué. (2007). Optimal rates and adaptation in the single-index model using aggregation. Electronic Journal of Statistics. 1(none). 23 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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