Léo Miolane
|
|
Books And Theses
⇣ |
Fundamental limits of inference: A statistical physics approach. Limites fondamentales de l'inférence statistique: Une approche par la physique statistique, Léo Miolane ■, 2019 |
Articles
⇣ |
Asymptotic Bayes Risk for Gaussian Mixture in a Semi-Supervised Setting, Marc Lelarge ■, Léo Miolane ■, CAMSAP 2019 |
|||
⇣ |
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models, Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane ■, Lenka Zdeborova, COLT 2018 |
|||
⇣ | ⇣ |
Fundamental limits of symmetric low-rank matrix estimation, Marc Lelarge ■, Léo Miolane ■, COLT 2017 |
||
⇣ | ⇣ |
Statistical and computational phase transitions in spiked tensor estimation, Thibault Lesieur, Léo Miolane ■, Marc Lelarge ■, Florent Krzakala, Lenka Zdeborova, ISIT 2017 |
||
⇣ |
The layered structure of tensor estimation and its mutual information, Jean Barbier, Nicolas Macris, Léo Miolane ■, Allerton 2017 |
Journal article
⇣ | ⇣ |
Recovering Asymmetric Communities in the Stochastic Block Model, Francesco Caltagirone, Marc Lelarge ■, Léo Miolane ■, IEEE Transactions on Network Science and Engineering 2018 |
Report
⇣ | ⇣ |
Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models, Jean Barbier, Florent Krzakala, Nicolas Macris, Léo Miolane ■, Lenka Zdeborova, CoRR 2017 |
Misc
⇣ |
Statistical thresholds for Tensor PCA, Aukosh Jagannath, Patrick Lopatto, Léo Miolane ■, 2018 |
|||
⇣ |
The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning, Léo Miolane ■, Andrea Montanari, 2018 |
|||
⇣ |
Phase transitions in spiked matrix estimation: information-theoretic analysis, Léo Miolane ■, 2018 |
|||
⇣ |
Fundamental limits of low-rank matrix estimation: the non-symmetric case, Léo Miolane ■, 2017 |