Exact block-wise optimization in group lasso and sparse group lasso for linear regression

Exact covariance thresholding into connected components for large-scale Graphical Lasso

Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation

Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation

f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models

Faithfulness in Chain Graphs: The Gaussian Case

Falsification and future performance

Families of dendrograms

Fast Convergence Rate of Multiple Kernel Learning with Elastic-net Regularization

Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference

Fast global convergence of gradient methods for high-dimensional statistical recovery

Fast Inference of Interactions in Assemblies of Stochastic Integrate-and-Fire Neurons from Spike Recordings

Fast Learning Rate of lp-MKL and its Minimax Optimality

Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness

Fast Learning Rate of Non-Sparse Multiple Kernel Learning and Optimal Regularization Strategies

Fast projections onto mixed-norm balls with applications

Fast Sparse Decomposition by Iterative Detection-Estimation

Fast, Linear Time Hierarchical Clustering using the Baire Metric

Fast, Linear Time, m-Adic Hierarchical Clustering for Search and Retrieval using the Baire Metric, with linkages to Generalized Ultrametrics, Hashing, Formal Concept Analysis, and Precision of Data Measurement

Feedback Message Passing for Inference in Gaussian Graphical Models