Следене
Leo Miolane
Leo Miolane
Потвърден имейл адрес: nyu.edu - Начална страница
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Позовавания
Година
Optimal errors and phase transitions in high-dimensional generalized linear models
J Barbier, F Krzakala, N Macris, L Miolane, L Zdeborová
Proceedings of the National Academy of Sciences 116 (12), 5451-5460, 2019
2952019
Fundamental limits of symmetric low-rank matrix estimation
M Lelarge, L Miolane
Conference on Learning Theory, 1297-1301, 2017
2192017
Statistical and computational phase transitions in spiked tensor estimation
T Lesieur, L Miolane, M Lelarge, F Krzakala, L Zdeborová
2017 IEEE International Symposium on Information Theory (ISIT), 511-515, 2017
1372017
The distribution of the lasso: Uniform control over sparse balls and adaptive parameter tuning
L Miolane, A Montanari
The Annals of Statistics 49 (4), 2021
1312021
Fundamental limits of low-rank matrix estimation: the non-symmetric case
L Miolane
arXiv preprint arXiv:1702.00473, 2017
932017
A global dynamic long-term inundation extent dataset at high spatial resolution derived through downscaling of satellite observations
F Aires, L Miolane, C Prigent, B Pham, E Fluet-Chouinard, B Lehner, ...
Journal of Hydrometeorology 18 (5), 1305-1325, 2017
922017
The layered structure of tensor estimation and its mutual information
J Barbier, N Macris, L Miolane
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
692017
Statistical thresholds for tensor PCA
A Jagannath, P Lopatto, L Miolane
The Annals of Applied Probability 30 (4), 1910-1933, 2020
502020
Recovering asymmetric communities in the stochastic block model
F Caltagirone, M Lelarge, L Miolane
IEEE Transactions on Network Science and Engineering 5 (3), 237-246, 2017
482017
Phase transitions, optimal errors and optimality of message-passing in generalized linear models
J Barbier, F Krzakala, N Macris, L Miolane, L Zdeborová
arXiv preprint arXiv:1708.03395 18, 2017
332017
Asymptotic bayes risk for gaussian mixture in a semi-supervised setting
M Lelarge, L Miolane
2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019
292019
Phase transitions in spiked matrix estimation: information-theoretic analysis
L Miolane
arXiv preprint arXiv:1806.04343, 2018
212018
Optimal errors and phase transitions in high-dimensional generalized linear models
J Barbier, F Krzakala, N Macris, L Miolane, L Zdeborová
Conference On Learning Theory, 728-731, 2018
162018
Fundamental limits of inference: A statistical physics approach.
L Miolane
Ecole normale supérieure-ENS PARIS; Inria Paris, 2019
82019
GIEMS-D3: A new long-term, dynamical, high-spatial resolution inundation extent dataset at global scale
F Aires, L Miolane, C Prigent, B Pham Duc, F Papa, E Fluet-Chouinard, ...
EGU General Assembly Conference Abstracts, 8831, 2017
12017
Fundamental limits of inference: a statistical physics approach| Theses. fr
L Miolane
Paris Sciences et Lettres (ComUE), 2019
2019
Fundamental limits of symmetric low-rank matrix estimation
M Lelarge, L Miolane
Probability Theory and Related Fields 173, 859-929, 2019
2019
Cavity method for low-rank matrix factorization
M Lelarge, L Miolane
2017
Lenka Zdeborová
A Manoel, L Miolane, F Sausset, C Schulke, Y Sun, E Tramel
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models: Supplementary Informations
J Barbier, F Krzakala, N Macris, L Miolane, L Zdeborová
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