JMLR Special Issue in Memory of Alexey Chervonenkis

Preface to this Special Issue
Alex Gammerman, Vladimir Vovk; 16(Sep):1677−1681, 2015.

V-Matrix Method of Solving Statistical Inference Problems
Vladimir Vapnik, Rauf Izmailov; 16(Sep):1683−1730, 2015.

Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization
Adith Swaminathan, Thorsten Joachims; 16(Sep):1731−1755, 2015.

Optimal Estimation of Low Rank Density Matrices
Vladimir Koltchinskii, Dong Xia; 16(Sep):1757−1792, 2015.

Fast Rates in Statistical and Online Learning
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson; 16(Sep):1793−1861, 2015.

On the Asymptotic Normality of an Estimate of a Regression Functional
László Györfi, Harro Walk; 16(Sep):1863−1877, 2015.

Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation
Pierre C. Bellec, Alexandre B. Tsybakov; 16(Sep):1879−1892, 2015.

Exceptional Rotations of Random Graphs: A VC Theory
Louigi Addario-Berry, Shankar Bhamidi, Sébastien Bubeck, Luc Devroye, Gábor Lugosi, Roberto Imbuzeiro Oliveira; 16(Sep):1893−1922, 2015.

Semi-Supervised Interpolation in an Anticausal Learning Scenario
Dominik Janzing, Bernhard Schölkopf; 16(Sep):1923−1948, 2015.

Towards an Axiomatic Approach to Hierarchical Clustering of Measures
Philipp Thomann, Ingo Steinwart, Nico Schmid; 16(Sep):1949−2002, 2015.

Predicting a Switching Sequence of Graph Labelings
Mark Herbster, Stephen Pasteris, Massimiliano Pontil; 16(Sep):2003−2022, 2015.

Learning Using Privileged Information: Similarity Control and Knowledge Transfer
Vladimir Vapnik, Rauf Izmailov; 16(Sep):2023−2049, 2015.

Alexey Chervonenkis's Bibliography: Introductory Comments
Alex Gammerman, Vladimir Vovk; 16(Sep):2051−2066, 2015.

Alexey Chervonenkis's Bibliography
Alex Gammerman, Vladimir Vovk; 16(Sep):2067−2080, 2015.

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