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Statistical Learning

4076 directly classified papers

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Papers

Heavy-tailed Distances for Gradient Based Image Descriptors NIPS 2011
Inferring spike-timing-dependent plasticity from spike train data NIPS 2011
Demixed Principal Component Analysis NIPS 2011
Differentially Private M-Estimators NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
Empirical models of spiking in neural populations NIPS 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
On the accuracy of l1-filtering of signals with block-sparse structure NIPS 2011
Multivariate Dyadic Regression Trees for Sparse Learning Problems NIPS 2010
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NIPS 2010
Exact inference and learning for cumulative distribution functions on loopy graphs NIPS 2010
Regularized estimation of image statistics by Score Matching NIPS 2010
A Rotation Test to Verify Latent Structure JMLR 2010
The LASSO risk: asymptotic results and real world examples NIPS 2010
Heavy-Tailed Process Priors for Selective Shrinkage NIPS 2010
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models NIPS 2010
Scrambled Objects for Least-Squares Regression NIPS 2010
Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models ACML 2010
Permutation Complexity Bound on Out-Sample Error NIPS 2010
Group Sparse Coding with a Laplacian Scale Mixture Prior NIPS 2010
Consistent Nonparametric Tests of Independence JMLR 2010
b-Bit Minwise Hashing for Estimating Three-Way Similarities NIPS 2010
Near-Optimal Bayesian Active Learning with Noisy Observations NIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NIPS 2010