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