We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
We present a class of inexact adaptive multilevel trust-region SQP-methods for the efficient solution of optimization problems governed by nonlinear partial differential equations...
In this paper, we propose a content-aware congestion control for multimedia streaming over TCP/IP networks. Unlike existing congestion control schemes over the Internet that adapt...
In this paper, we develop the theory of a new class of two dimensional arrays with sensors on lattice(s) which can be used to construct a virtual array of much larger size through...
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...