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Statistical Learning

4,117 papers

Papers per year

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100
382
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Papers

Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NIPS 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NIPS 2012
Graphical Models via Generalized Linear Models NIPS 2012
Learning Mixtures of Tree Graphical Models NIPS 2012
A Spectral Algorithm for Latent Dirichlet Allocation NIPS 2012
The Perturbed Variation NIPS 2012
Kernel Hyperalignment NIPS 2012
Multi-Task Averaging NIPS 2012
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NIPS 2012
How They Vote: Issue-Adjusted Models of Legislative Behavior NIPS 2012
Locating Changes in Highly Dependent Data with Unknown Number of Change Points NIPS 2012
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NIPS 2012
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NIPS 2012
Meta-Gaussian Information Bottleneck NIPS 2012
Ancestor Sampling for Particle Gibbs NIPS 2012
Identifiability and Unmixing of Latent Parse Trees NIPS 2012
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions 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
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
Dimensionality Dependent PAC-Bayes Margin Bound NIPS 2012
On the Sample Complexity of Robust PCA NIPS 2012