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2010 – 2019
- 2019
[c6]Marc Lelarge, Léo Miolane:
Asymptotic Bayes Risk for Gaussian Mixture in a Semi-Supervised Setting. CAMSAP 2019: 639-643- [i5]Marc Lelarge, Léo Miolane:
Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting. CoRR abs/1907.03792 (2019) - 2018
- [j1]Francesco Caltagirone, Marc Lelarge, Léo Miolane
:
Recovering Asymmetric Communities in the Stochastic Block Model. IEEE Trans. Netw. Sci. Eng. 5(3): 237-246 (2018) - [c5]Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová:
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models. COLT 2018: 728-731 - [i4]Léo Miolane:
Phase transitions in spiked matrix estimation: information-theoretic analysis. CoRR abs/1806.04343 (2018) - 2017
- [c4]Jean Barbier, Nicolas Macris, Léo Miolane:
The layered structure of tensor estimation and its mutual information. Allerton 2017: 1056-1063 - [c3]Marc Lelarge, Léo Miolane:
Fundamental limits of symmetric low-rank matrix estimation. COLT 2017: 1297-1301 - [c2]Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala, Lenka Zdeborová:
Statistical and computational phase transitions in spiked tensor estimation. ISIT 2017: 511-515 - [i3]Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala, Lenka Zdeborová:
Statistical and computational phase transitions in spiked tensor estimation. CoRR abs/1701.08010 (2017) - [i2]Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová:
Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models. CoRR abs/1708.03395 (2017) - [i1]Jean Barbier, Nicolas Macris, Léo Miolane:
The Layered Structure of Tensor Estimation and its Mutual Information. CoRR abs/1709.10368 (2017) - 2016
- [c1]Francesco Caltagirone, Marc Lelarge, Léo Miolane:
Recovering asymmetric communities in the stochastic block model. Allerton 2016: 9-16
Coauthor Index
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