Replica theory for learning curves for Gaussian processes on random graphs

Reproducing Kernel Banach Spaces with the l1 Norm

Reproducing Kernel Banach Spaces with the l1 Norm II: Error Analysis for Regularized Least Square Regression

Reproducing kernels for spaces of zero mean functions. Application to sensitivity analysis

Residual Component Analysis

Resolution and Scale Independent Function Matching Using a String Energy Penalized Spline Prior

Restricted Collapsed Draw: Accurate Sampling for Hierarchical Chinese Restaurant Process Hidden Markov Models

Risk Bounds for CART Classifiers under a Margin Condition

Risk Bounds for Infinitely Divisible Distribution

Risk bounds for time series without strong mixing

Risk bounds in linear regression through PAC-Bayesian truncation

Robust Clustering Using Outlier-Sparsity Regularization

Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast with Algebraic Optimal Step Size

Robust Kernel Density Estimation

Robust Learning via Cause-Effect Models

Robust Matrix Completion with Corrupted Columns

Robust Matrix Decomposition with Outliers

Robust Nonparametric Regression via Sparsity Control with Application to Load Curve Data Cleansing

Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization

Robust recovery of multiple subspaces by geometric l_p minimization