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Statistical Learning

4076 directly classified papers

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Papers

The Likelihood-Ratio Test and Efficient Robust Estimation ICCV 2015
Learning with Square Loss: Localization through Offset Rademacher Complexity COLT 2015
Statistical Inference Models for Image Datasets With Systematic Variations CVPR 2015
The Sample Complexity of Learning Linear Predictors with the Squared Loss JMLR 2015
Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs COLT 2015
Sparsity and the Truncated $l^2$-norm AISTATS 2014
Optimal rates for k-NN density and mode estimation NIPS 2014
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NIPS 2014
Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction CVPR 2014
A statistical model for tensor PCA NIPS 2014
Provable Tensor Factorization with Missing Data NIPS 2014
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NIPS 2014
(Almost) No Label No Cry NIPS 2014
Kernel Mean Estimation via Spectral Filtering NIPS 2014
Learning convolution filters for inverse covariance estimation of neural network connectivity NIPS 2014
Optimal learners for multiclass problems COLT 2014
Minimax-optimal Inference from Partial Rankings NIPS 2014
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014
Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014
A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014
Computing Parametric Ranking Models via Rank-Breaking ICML 2014
On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014