Rina Foygel

TL;DR: A comprehensive blind assessment of over 30 network inference methods on Escherichia coli, Staphylococcus aureus, Saccharomyces cerevisiae and in silico microarray data defines the performance, data requirements and inherent biases of different inference approaches, and provides guidelines for algorithm application and development.

TL;DR: This paper establishes the consistency of an extended Bayesian information criterion for Gaussian graphical models in a scenario where both the number of variables p and the sample size n grow.

TL;DR: In this paper, the consistency of an extended Bayesian information criterion for Gaussian graphical models in a scenario where both the number of variables p and the sample size n grow is established.

TL;DR: In this article, the authors derive a novel norm that corresponds to the tightest convex relaxation of sparsity combined with an l 1 penalty, and show that this new k-support norm provides a tighter relaxation than the elastic net and can thus be advantageous in sparse prediction problems.

TL;DR: Examining the syntactic and prosodic characteristics of the maternal speech to two infants between six and ten months finds infant-directed speech to be characterized by generally short utterances, isolated words and phrases, and large numbers of questions, but longer utterances are also found.