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Statistical Learning

4076 directly classified papers

Papers per year

Papers

Robust Classification Under Sample Selection Bias NIPS 2014
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NIPS 2014
Learnability of the Superset Label Learning Problem ICML 2014
Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014
Learning without concentration COLT 2014
A Statistical Perspective on Algorithmic Leveraging ICML 2014
The sample complexity of agnostic learning under deterministic labels COLT 2014
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014
On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems COLT 2014
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014
Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
Exact Post Model Selection Inference for Marginal Screening NIPS 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Consistent Binary Classification with Generalized Performance Metrics NIPS 2014
Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs JMLR 2014
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare ICML 2014
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NIPS 2014
Clustering from Labels and Time-Varying Graphs NIPS 2014
Concept Drift Detection Through Resampling ICML 2014
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models JMLR 2014
Adaptive Minimax Regression Estimation over Sparse $\ell_q$-Hulls JMLR 2014
Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity JMLR 2014
Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables JMLR 2014
Online Non-Parametric Regression COLT 2014