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Statistical Learning

4076 directly classified papers

Papers per year

Papers

Fast, smooth and adaptive regression in metric spaces NIPS 2009
Distribution Matching for Transduction NIPS 2009
Adaptive False Discovery Rate Control under Independence and Dependence JMLR 2009
Probabilistic Relational PCA NIPS 2009
A Fast, Consistent Kernel Two-Sample Test NIPS 2009
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NIPS 2009
A Data-Driven Approach to Modeling Choice NIPS 2009
Data-driven calibration of linear estimators with minimal penalties NIPS 2009
Fast Learning from Non-i.i.d. Observations NIPS 2009
Toward Provably Correct Feature Selection in Arbitrary Domains NIPS 2009
Efficient Moments-based Permutation Tests NIPS 2009
Phase transitions for high-dimensional joint support recovery NIPS 2008
Inferring rankings under constrained sensing NIPS 2008
Overlaying classifiers: a practical approach for optimal ranking NIPS 2008
Performance analysis for L\_2 kernel classification NIPS 2008
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008
A general framework for investigating how far the decoding process in the brain can be simplified NIPS 2008
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NIPS 2008
An improved estimator of Variance Explained in the presence of noise NIPS 2008
On the Generalization Ability of Online Strongly Convex Programming Algorithms NIPS 2008
Near-minimax recursive density estimation on the binary hypercube NIPS 2008
On the Reliability of Clustering Stability in the Large Sample Regime NIPS 2008
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008