Cours magistraux
le (1h24m41s)
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Nombre de programmes trouvés : 35
Cours magistraux
le (41m0s)
Tropp 9/9 - Random matrix theory and computational linear algebra
... sophisticated application, we present a complete treatment of a recent algorithm for solving graph Laplacian linear systems in near-linear time. Some references : 1. Tropp, "An introduction to matrix concentration inequalities," Found. Trends. Mach. Learning,... Voir la vidéo
Cours magistraux
le (56m12s)
Tropp 6/9 - Random matrix theory and computational linear algebra
... sophisticated application, we present a complete treatment of a recent algorithm for solving graph Laplacian linear systems in near-linear time. Some references : 1. Tropp, "An introduction to matrix concentration inequalities," Found. Trends. Mach. Learning,... Voir la vidéo
Cours magistraux
le (0s)
Tropp 7/9 - Random matrix theory and computational linear algebra
... sophisticated application, we present a complete treatment of a recent algorithm for solving graph Laplacian linear systems in near-linear time. Some references : 1. Tropp, "An introduction to matrix concentration inequalities," Found. Trends. Mach. Learning,... Voir la vidéo
Cours magistraux
le (1h1m44s)
Tropp 5/9 - Random matrix theory and computational linear algebra
... sophisticated application, we present a complete treatment of a recent algorithm for solving graph Laplacian linear systems in near-linear time. Some references : 1. Tropp, "An introduction to matrix concentration inequalities," Found. Trends. Mach. Learning,... Voir la vidéo
Conférences
le (41m33s)
Massoulié - Planting trees in graphs, and finding them back
...In this talk we consider detection and reconstruction of planted structures in Erdős-Rényi random graphs. For planted line graphs, we establish the following phase diagram. In a low density region where the average degree λ of the initial graph is... Voir la vidéo
Conférences
le (42m3s)
Verzelen - Clustering with the relaxed K-means
...This talk is devoted to clustering problems. It amounts to partitionning a set of given points or the nodes of a given graph, in such a way that the groups are as homogeneous as possible. After introducing two random instances of this problem,... Voir la vidéo
Cours magistraux
le (57m49s)
Tropp 3/9 - Random matrix theory and computational linear algebra
... sophisticated application, we present a complete treatment of a recent algorithm for solving graph Laplacian linear systems in near-linear time. Some references : 1. Tropp, "An introduction to matrix concentration inequalities," Found. Trends. Mach. Learning,... Voir la vidéo
Cours magistraux
le (1h21s)
Tropp 4/9 - Random matrix theory and computational linear algebra
... sophisticated application, we present a complete treatment of a recent algorithm for solving graph Laplacian linear systems in near-linear time. Some references : 1. Tropp, "An introduction to matrix concentration inequalities," Found. Trends. Mach. Learning,... Voir la vidéo
Conférences
le (43m45s)
