Information, Divergence and Risk for Binary Experiments

Information-Maximization Clustering based on Squared-Loss Mutual Information

Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization

Initialization Free Graph Based Clustering

Introduction to Graphical Modelling

Is the k-NN classifier in high dimensions affected by the curse of dimensionality?

Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors

Joint and Individual Variation Explained (JIVE) for Integrated Analysis of Multiple Datatypes

Joint estimation of linear non-Gaussian acyclic models

K-Dimensional Coding Schemes in Hilbert Spaces

k-NN Regression Adapts to Local Intrinsic Dimension

Kernel Bayes' rule

Kernel induced random survival forests

Kernel Regression by Mode Calculation of the Conditional Probability Distribution

Kernels for Measures Defined on the Gram Matrix of their Support

Kernels for Vector-Valued Functions: a Review

KNIFE: Kernel Iterative Feature Extraction

Kronecker Graphs: An Approach to Modeling Networks

Krylov Subspace Descent for Deep Learning

Kullback-Leibler aggregation and misspecified generalized linear models