CORDIS Project
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This project seeks to develop robust algorithms for recovering data structures from noisy information using convex optimization techniques. It aims to connect various computational models and enhance understanding of distributed systems and community detection.
In a recovery problem, we are interested in recovering structure from data that contains a mix of combinatorial structure and random noise.
In a robust recovery problem, the data may contain adversarial perturbations as well. A series of recent results in theoretical computer science has led to algorithms based on the convex optimization technique of Semidefinite Programming for several recovery problems motivated by unsupervised machine learning.
Can those algorithms be made robust?
Sparsifi…
UNIVERSITA COMMERCIALE LUIGI BOCCONI
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