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Alexandre d' Aspremont
Alexandre d' Aspremont
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Disciplines:
Applied mathematics
Computer sciences
Mathematics
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Directed Thesis:
Accelerating conditional gradient methods
Relaxations of the seriation problem and applications to de novo genome assembly
Acceleration in optimization
On the geometry of optimization problems and their structure
Stochastic approximation and least-squares regression, with applications to machine learning
Convex and spectral relaxations for phase retrieval, seriation and ranking