38 citations · 57 across the 7 of their papers we have counts for
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stat.ML2021
Smooth Bilevel Programming for Sparse Regularization
Clarice Poon, Gabriel Peyré
Iteratively reweighted least square (IRLS) is a popular approach to solve sparsity-enforcing regression problems in machine learning. State of the art approaches are more efficient…
stat.ML2021
Low-Rank Sinkhorn Factorization
Meyer Scetbon, Marco Cuturi, Gabriel Peyré
Several recent applications of optimal transport (OT) theory to machine learning have relied on regularization, notably entropy and the Sinkhorn algorithm. Because matrix-vector pr…
stat.ML2021
Fast and accurate optimization on the orthogonal manifold without retraction
Pierre Ablin, Gabriel Peyré
We consider the problem of minimizing a function over the manifold of orthogonal matrices. The majority of algorithms for this problem compute a direction in the tangent space, and…