We develop a nonlinear minimax estimator for the classical linear regression model assuming that the true parameter vector lies in an intersection of ellipsoids. We seek an estimat...
—We present an alternative analysis of weighted 1 minimization for sparse signals with a nonuniform sparsity model, and extend our results to nuclear norm minimization for matric...
In this paper we describe a paradigm for contentfocused matchmaking, based on a recently proposed model for constraint acquisition-and-satisfaction. Matchmaking agents are conceiv...
Aligning structures, often referred to as docking or registration, is frequently required in fields such as computer science, robotics and structural biology. The task of alignin...
Johannes Jansen van Vuuren, Michelle Kuttel, James...
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...