
See https://sites.google.com/view/maddd/ for the details.


Title: A Machine Learning Approach to Optimization Abstract: Most applications in engineering, operations research and finance rely on solving the same optimization problem several times with…


05/12 presentation by Venkat Chandrasekaran (Caltech)Title: Fitting Convex Sets to DataAbstract: A number of problems in signal processing may be viewed conceptually as fitting a convex set to data.…




Presentation by Yian Ma (UC San Diego) Title: Briding MCMC and OptimizationAbstract: In this talk, I will discuss three ingredients of optimization theory in the context of MCMC: Nonconvexity, …


Talk by Sam Hopkins (UC Berkeley) Title: From Proofs to Algorithms for HighDimensional Statistics Abstract: I will discuss a novel technique, "Proofs to Algorithms," for designing and…


I gave the following lecture in Zoom (COVID 19 era): Combinatorics in the Space of Monotone Paths of a Convex PolytopeAbstract Using a linear functional f on a convex polytope P induces an…
