Title:
Recent advances in scaling problems
Abstract:
Scaling problems are linear algebraic problems commonly appearing in various fields.
In this talk, I will survey matrix andoperator scaling problems and their applications in machine learning, combinatorial optimization, and theoretical computer science.
The main focus of the talk is on a simple iterative algorithm called the Sinkhorn algorithm and its connection with convex or geodesically-convex optimization.
In the second part of the talk, I will discuss our recent result on how to find shrunk subspaces using the Sinkhorn algorithm.
This talk is based on joint work with Cole Franks and Michel Goemans.
Public events of RIKEN Center for Advanced Intelligence Project (AIP)
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