Quick Overview: David Steurer - "Tensor decompositions, sum-of-squares proofs, and spectral algorithms" - 5/17/16 Computer Science/Discrete Mathematics Seminar I Topic: Polynomial-time Members' Seminar Topic: Efficient non-convex polynomial optimization and the
David Steurer Tensor Decompositions Sum - Detailed Overview & Context
David Steurer - "Tensor decompositions, sum-of-squares proofs, and spectral algorithms" - 5/17/16 Computer Science/Discrete Mathematics Seminar I Topic: Polynomial-time Members' Seminar Topic: Efficient non-convex polynomial optimization and the Moses Charikar, Princeton University Semidefinite Optimization, Approximation and Applications ... Daniel Hsu, Columbia University Foundations of Machine Learning ... Aditya Bhaskara, Google Research New York
Sham Kakade, Microsoft Research New England Computer Science/Discrete Mathematics Seminar II Topic: WEB: This lecture focuses on the generalization of matrix Aravindan Vijayaraghavan, Courant Institute NYU Luke Oeding, Auburn University Algebraic Geometry Boot Camp Authors: Mao-Lin Li, Maria Luisa Sapino and K. Selcuk Candan.
Giorgio Ottaviani, Università di Firenze Symbolic and Numerical Methods for
