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Lovasz theta function, SVMs and Finding Dense Subgraphs

<b>Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt Dubhashi</b>; 14(Dec):3495−3536, 2013.<p>Abstract<p>In this paper we establish that the …

Machine Learning

A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion

<b>Tony Cai, Wen-Xin Zhou</b>; 14(Dec):3619−3647, 2013.<p>Abstract<p>We consider in this paper the problem of noisy 1-bit matrix completion under a general …

Algorithms

Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso

<b>Aleksandr Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto</b>; 15(Jan):217−252, 2014.<p>Abstract<p>We study a simple linear regression problem …

Node-Based Learning of Multiple Gaussian Graphical Models

<b>Karthik Mohan, Palma London, Maryam Fazel, Daniela Witten, Su-In Lee</b>; 15(Feb):445−488, 2014.<p>Abstract<p>We consider the problem of estimating …

Data Science

Random Intersection Trees

<b>Rajen Dinesh Shah, Nicolai Meinshausen</b>; 15(Feb):629−654, 2014.<p>Abstract<p>Finding interactions between variables in large and high- dimensional data sets …

Schadenfreude

Clustering Hidden Markov Models with Variational HEM

<b>Emanuele Coviello, Antoni B. Chan, Gert R.G. Lanckriet</b>; 15(Feb):697−747, 2014.<p>Abstract<p>The hidden Markov model (HMM) is a widely-used generative model …

Machine Learning