« Efficient Algorithms for Tensor Scaline, Quantum Marginals, and Moment Polytopes
November 07, 2018, 11:00 AM - 12:00 PM
Location:
Conference Room 301
Rutgers University
CoRE Building
96 Frelinghuysen Road
Piscataway, NJ 08854
Cole Franks, Rutgers University
In many cases, a group action on a manifold can be associated with a map
called a moment map. Surprisingly, the image of the manifold under this
map is always a convex polytope, known as its moment polytope. Moment
polytope membership can often be expressed as an optimization problem
which is convex only in the Abelian case. Whether moment polytope
membership can be decided in polynomial time is a fundamental open
problem with deep consequences in algebraic complexity theory and
elsewhere.
I'll discuss an approach to moment polytope membership through
optimization. For example, in a recent joint work we obtain an extremely
simple algorithm for tensor scaling, i.e. approximately scaling tensors
to arbitrary prescribed marginals (whenever possible). Improving the
run-time of our tensor scaling algorithm to polylog(eps) would result
in a polynomial time algorithm for moment polytope membership in this
special case, and would have applications in polynomial identity
testing, computing Brascamp-Lieb constants, and optimization problems
related to tensor rank, to name a few. If time permits I will discuss a
geodesically convex optimization algorithm that works in a much more
general setting.
Joint work with with Peter Bürgisser, Ankit Garg, Rafael Oliveira, Michael Walter,
and Avi Wigderson