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Statistical Learning

4,117 papers

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Papers

Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NIPS 2014
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NIPS 2014
Robust Classification Under Sample Selection Bias NIPS 2014
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NIPS 2014
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014
Consistency of weighted majority votes NIPS 2014
Elementary Estimators for Graphical Models NIPS 2014
A Statistical Decision-Theoretic Framework for Social Choice NIPS 2014
A Wild Bootstrap for Degenerate Kernel Tests NIPS 2014
Time--Data Tradeoffs by Aggressive Smoothing NIPS 2014
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NIPS 2014
Low-dimensional models of neural population activity in sensory cortical circuits NIPS 2014
Multivariate f-divergence Estimation With Confidence NIPS 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
Consistent Binary Classification with Generalized Performance Metrics NIPS 2014
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NIPS 2014
Clustering from Labels and Time-Varying Graphs NIPS 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
Spectral Methods for Supervised Topic Models NIPS 2014
Learning with Fredholm Kernels NIPS 2014
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NIPS 2014
A statistical model for tensor PCA NIPS 2014
Provable Tensor Factorization with Missing Data NIPS 2014
Recursive Inversion Models for Permutations NIPS 2014