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Statistical Learning

4076 directly classified papers

Papers per year

Papers

Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
Dynamical segmentation of single trials from population neural data NIPS 2011
Testing a Bayesian Measure of Representativeness Using a Large Image Database NIPS 2011
Scalable Training of Mixture Models via Coresets NIPS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011
A More Powerful Two-Sample Test in High Dimensions using Random Projection NIPS 2011
PAC-Bayesian Analysis of Contextual Bandits NIPS 2011
On U-processes and clustering performance NIPS 2011
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NIPS 2011
Neyman-Pearson classification under a strict constraint COLT 2011
Active Learning with a Drifting Distribution NIPS 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
On Time Varying Undirected Graphs AISTATS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011
Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011
Statistical Performance of Convex Tensor Decomposition NIPS 2011
Statistical Tests for Optimization Efficiency NIPS 2011
Optimal aggregation of affine estimators COLT 2011
Generalized TD Learning JMLR 2011
In All Likelihood, Deep Belief Is Not Enough JMLR 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model JMLR 2011
Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing COLT 2011