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Statistical Learning

4076 directly classified papers

Papers per year

Papers

One-Pass AUC Optimization ICML 2013
Distribution-Free Distribution Regression AISTATS 2013
Stability and Hypothesis Transfer Learning ICML 2013
Breaking the Small Cluster Barrier of Graph Clustering ICML 2013
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013
The lasso, persistence, and cross-validation ICML 2013
Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013
Multiple-source cross-validation ICML 2013
Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013
Data-driven covariate selection for nonparametric estimation of causal effects AISTATS 2013
A simple criterion for controlling selection bias AISTATS 2013
Cost-sensitive Multiclass Classification Risk Bounds ICML 2013
Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013
Blind Signal Separation in the Presence of Gaussian Noise COLT 2013
Statistical Tests for Contagion in Observational Social Network Studies AISTATS 2013
Honest Compressions and Their Application to Compression Schemes COLT 2013
Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013
Passive Learning with Target Risk COLT 2013
Boosting with the Logistic Loss is Consistent COLT 2013
Feature Selection in High-Dimensional Classification ICML 2013
Activized Learning with Uniform Classification Noise ICML 2013
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013
Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013