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Statistical Learning

4076 directly classified papers

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Papers

Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014
Localized Complexities for Transductive Learning COLT 2014
Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models JMLR 2014
EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines JMLR 2014
Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso JMLR 2014
Optimality of Graphlet Screening in High Dimensional Variable Selection JMLR 2014
Tensor Decompositions for Learning Latent Variable Models JMLR 2014
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression JMLR 2014
On the Complexity of A/B Testing COLT 2014
PAC-Bayesian Collective Stability AISTATS 2014
PAC-Bayesian Theory for Transductive Learning AISTATS 2014
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NIPS 2014
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NIPS 2014
Recursive Inversion Models for Permutations NIPS 2014
Exponential Concentration of a Density Functional Estimator NIPS 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NIPS 2014
Estimation with Norm Regularization NIPS 2014
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife JMLR 2014
Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014
A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models AISTATS 2014
On the Testability of Models with Missing Data AISTATS 2014
Sparse PCA with Oracle Property NIPS 2014
On the Information Theoretic Limits of Learning Ising Models NIPS 2014