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Statistical Learning

4076 directly classified papers

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Papers

Compressive Sensing MRI with Wavelet Tree Sparsity NIPS 2012
Mixability in Statistical Learning NIPS 2012
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NIPS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss NIPS 2012
Learning Mixtures of Tree Graphical Models NIPS 2012
Multi-Task Averaging NIPS 2012
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NIPS 2012
Structured Learning of Gaussian Graphical Models NIPS 2012
Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NIPS 2012
Dimensionality Dependent PAC-Bayes Margin Bound NIPS 2012
On the Sample Complexity of Robust PCA NIPS 2012
Tight Bounds on Profile Redundancy and Distinguishability NIPS 2012
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NIPS 2012
Ensemble weighted kernel estimators for multivariate entropy estimation NIPS 2012
Iterative ranking from pair-wise comparisons NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012
A Polynomial-time Form of Robust Regression NIPS 2012
Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data NIPS 2012
Communication-Efficient Algorithms for Statistical Optimization NIPS 2012
Nonparametric Reduced Rank Regression NIPS 2012
Active Comparison of Prediction Models NIPS 2012
Transelliptical Graphical Models NIPS 2012
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012