Statistical Learning

Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions ACML 2013 Regression-tree Tuning in a Streaming Setting NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel NeurIPS 2013 Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction ICML 2013 Robust Sparse Regression under Adversarial Corruption ICML 2013 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Separating Signal from Noise Using Patch Recurrence across Scales CVPR 2013 Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013 Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013 Spectral methods for neural characterization using generalized quadratic models NeurIPS 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Spike train entropy-rate estimation using hierarchical Dirichlet process priors NeurIPS 2013 Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013 Stability and Hypothesis Transfer Learning ICML 2013 Stability of Multi-Task Kernel Regression Algorithms ACML 2013 Statistical Active Learning Algorithms NeurIPS 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Statistical Tests for Contagion in Observational Social Network Studies AISTATS 2013 Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NeurIPS 2013 Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion JMLR 2013