Mathematics & Optimization

Riffled Independence for Ranked Data NeurIPS 2009 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Sensitivity analysis in HMMs with application to likelihood maximization NeurIPS 2009 Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning JMLR 2009 SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent JMLR 2009 Slow Learners are Fast NeurIPS 2009 Solving Stochastic Games NeurIPS 2009 Sparse Estimation Using General Likelihoods and Non-Factorial Priors NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 Strategy Grafting in Extensive Games NeurIPS 2009 Streaming k-means approximation NeurIPS 2009 Streaming Pointwise Mutual Information NeurIPS 2009 Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks JMLR 2009 Submanifold density estimation NeurIPS 2009 Submodularity Cuts and Applications NeurIPS 2009 The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models JMLR 2009 The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs JMLR 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NeurIPS 2009 Tracking Dynamic Sources of Malicious Activity at Internet Scale NeurIPS 2009 Unsupervised Feature Selection for the k-means Clustering Problem NeurIPS 2009