Statistical Learning

Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting JMLR 2013 A Plug-in Approach to Neyman-Pearson Classification JMLR 2013 A Risk Comparison of Ordinary Least Squares vs Ridge Regression JMLR 2013 A simple criterion for controlling selection bias AISTATS 2013 Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013 A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013 A Widely Applicable Bayesian Information Criterion JMLR 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Blind Signal Separation in the Presence of Gaussian Noise COLT 2013 Boosting with the Logistic Loss is Consistent COLT 2013 Breaking the Small Cluster Barrier of Graph Clustering ICML 2013 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013 Central Limit Theorems for Conditional Markov Chains AISTATS 2013 Changepoint Detection over Graphs with the Spectral Scan Statistic AISTATS 2013 Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013 Cluster Trees on Manifolds NeurIPS 2013 Collective Stability in Structured Prediction: Generalization from One Example ICML 2013 Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009) JMLR 2013 Communication-Efficient Algorithms for Statistical Optimization JMLR 2013 Composite Statistical Inference for Semantic Segmentation CVPR 2013 Computation-Risk Tradeoffs for Covariance-Thresholded Regression ICML 2013 Conditional Random Fields via Univariate Exponential Families NeurIPS 2013 Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NeurIPS 2013 Consistency versus Realizable H-Consistency for Multiclass Classification ICML 2013 Consistent Selection of Tuning Parameters via Variable Selection Stability JMLR 2013