Recent & Upcoming Talks

2019

In this talk, we present a first-order optimization algorithm for distributed learning problems. We propose an efficient sparsification …

Many machine learning and signal processing applications involve high-dimensional nonsmooth optimization problems. The nonsmoothness is …

We present an asynchronous optimization algorithm for distributed learning, that efficiently reduces the communications between a …

We present an asynchronous optimization algorithm for distributed learning, that efficiently reduces the communications between a …

2018

We propose an efficient distributed algorithm for solving regularized learning problems. In a distributed framework with a master …

We propose an efficient distributed algorithm for solving regularized learning problems. In a distributed framework with a master …

We present an asynchronous optimization algorithm for distributed learning, that efficiently reduces the communications between a …

2016

In this work, we study the problem of restoring the correspondence matrix for measuring the flows on the links of a large computer …