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1219 directly classified papers

Papers per year

Papers

Efficient Estimation of Mutual Information for Strongly Dependent Variables AISTATS 2015
The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015
Private Graphon Estimation for Sparse Graphs NIPS 2015
Learning the dependence structure of rare events: a non-asymptotic study COLT 2015
A Stable Multi-Scale Kernel for Topological Machine Learning CVPR 2015
Optimal Estimation of Low Rank Density Matrices JMLR 2015
Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression JMLR 2015
Flexible High-Dimensional Classification Machines and Their Asymptotic Properties JMLR 2015
V-Matrix Method of Solving Statistical Inference Problems JMLR 2015
Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015
Shell PCA: Statistical Shape Modelling in Shell Space ICCV 2015
Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-View Stereo ICCV 2015
On Statistical Analysis of Neuroimages With Imperfect Registration ICCV 2015
Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015
Dimensionality estimation without distances AISTATS 2015
An Efficient Statistical Method for Image Noise Level Estimation ICCV 2015
Subsampling Methods for Persistent Homology ICML 2015
A low variance consistent test of relative dependency ICML 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures NIPS 2015
Competitive Distribution Estimation: Why is Good-Turing Good NIPS 2015
Structured Estimation with Atomic Norms: General Bounds and Applications NIPS 2015
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models JMLR 2014
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation JMLR 2014