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Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries

Efficient Bayesian Community Detection using Non-negative Matrix Factorisation

Efficient hierarchical clustering for continuous data

Efficient Latent Variable Graphical Model Selection via Split Bregman Method

Efficient Marginal Likelihood Computation for Gaussian Process Regression

Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process

Elastic-Net Regularization in Learning Theory

Empirical Bernstein Bounds and Sample Variance Penalization

Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes

Ensemble Models with Trees and Rules

Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks

Entropy Search for Information-Efficient Global Optimization

Entropy-Based Search Algorithm for Experimental Design

EP-GIG Priors and Applications in Bayesian Sparse Learning

Escaping the curse of dimensionality with a tree-based regressor

Estimated VC dimension for risk bounds

Estimating $β$-mixing coefficients

Estimating Networks With Jumps

Estimating Subagging by cross-validation