Léo Miolane

12 papers A* 2B 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2019 — conf
Asymptotic Bayes Risk for Gaussian Mixture in a Semi-Supervised Setting.
CAMSAP
Marc Lelarge, Léo Miolane
2019 J jnl
Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting.
CoRR
Marc Lelarge, Léo Miolane
2018 A* conf
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models.
COLT
Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová
2018 J jnl
Phase transitions in spiked matrix estimation: information-theoretic analysis.
CoRR
Léo Miolane
2018 J jnl
Recovering Asymmetric Communities in the Stochastic Block Model.
IEEE Trans. Netw. Sci. Eng.
Francesco Caltagirone, Marc Lelarge, Léo Miolane
2017 A* conf
Fundamental limits of symmetric low-rank matrix estimation.
COLT
Marc Lelarge, Léo Miolane
2017 J jnl
Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models.
CoRR
Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane, Lenka Zdeborová
2017 B conf
Statistical and computational phase transitions in spiked tensor estimation.
ISIT
Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala, Lenka Zdeborová
2017 J jnl
Statistical and computational phase transitions in spiked tensor estimation.
CoRR
Thibault Lesieur, Léo Miolane, Marc Lelarge, Florent Krzakala, Lenka Zdeborová
2017 J jnl
The Layered Structure of Tensor Estimation and its Mutual Information.
CoRR
Jean Barbier, Nicolas Macris, Léo Miolane
2017 — conf
The layered structure of tensor estimation and its mutual information.
Allerton
Jean Barbier, Nicolas Macris, Léo Miolane
2016 — conf
Recovering asymmetric communities in the stochastic block model.
Allerton
Francesco Caltagirone, Marc Lelarge, Léo Miolane