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Statistical Learning

4,117 papers

Papers per year

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100
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Papers

One-class classification of point patterns of extremes JMLR 2016
Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016
Bipartite Ranking: a Risk-Theoretic Perspective JMLR 2016
Guarding against Spurious Discoveries in High Dimensions JMLR 2016
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation JMLR 2016
Measuring Dependence Powerfully and Equitably JMLR 2016
Neyman-Pearson Classification under High-Dimensional Settings JMLR 2016
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares JMLR 2016
On Bayes Risk Lower Bounds JMLR 2016
Stability and Generalization in Structured Prediction JMLR 2016
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016
An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension JMLR 2016
On the properties of variational approximations of Gibbs posteriors JMLR 2016
Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data MLHC 2016
Regime Aware Learning PGM 2016
Robust Portfolio Optimization NIPS 2015
Less is More: Nyström Computational Regularization NIPS 2015
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NIPS 2015
Optimal Ridge Detection using Coverage Risk NIPS 2015
Statistical Model Criticism using Kernel Two Sample Tests NIPS 2015
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality NIPS 2015
Learning with Incremental Iterative Regularization NIPS 2015
Closed-form Estimators for High-dimensional Generalized Linear Models NIPS 2015
Fast Classification Rates for High-dimensional Gaussian Generative Models NIPS 2015
b-bit Marginal Regression NIPS 2015