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1219 directly classified papers

Papers per year

Papers

Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014
Exponential Family Matrix Completion under Structural Constraints ICML 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Nonparametric estimation and testing of exchangeable graph models AISTATS 2014
Covariance shrinkage for autocorrelated data NIPS 2014
A Wild Bootstrap for Degenerate Kernel Tests NIPS 2014
Using Projection Kurtosis Concentration Of Natural Images For Blind Noise Covariance Matrix Estimation CVPR 2014
Consistent Selection of Tuning Parameters via Variable Selection Stability JMLR 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NIPS 2013
Scale Invariant Conditional Dependence Measures ICML 2013
Learning Heteroscedastic Models by Convex Programming under Group Sparsity ICML 2013
Estimating Unknown Sparsity in Compressed Sensing ICML 2013
Precision-recall space to correct external indices for biclustering ICML 2013
Forecastable Component Analysis ICML 2013
Characterizing the Representer Theorem ICML 2013
Adaptive Sparsity in Gaussian Graphical Models ICML 2013
Principal Component Analysis on non-Gaussian Dependent Data ICML 2013
Efficient Learning of Simplices COLT 2013
Blind Signal Separation in the Presence of Gaussian Noise COLT 2013
Passive Learning with Target Risk COLT 2013
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel NIPS 2013
Consistency of Robust Kernel Density Estimators COLT 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NIPS 2013
PC Algorithm for Nonparanormal Graphical Models JMLR 2013
Inverse Density as an Inverse Problem: the Fredholm Equation Approach NIPS 2013