JMLR Special Issue in Memory of Alexey Chervonenkis

Preface to this Special Issue

Alex Gammerman, Vladimir Vovk; 16(Sep):1677−1681, 2015.
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V-Matrix Method of Solving Statistical Inference Problems

Vladimir Vapnik, Rauf Izmailov; 16(Sep):1683−1730, 2015.
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Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization

Adith Swaminathan, Thorsten Joachims; 16(Sep):1731−1755, 2015.
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Optimal Estimation of Low Rank Density Matrices

Vladimir Koltchinskii, Dong Xia; 16(Sep):1757−1792, 2015.
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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.
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On the Asymptotic Normality of an Estimate of a Regression Functional

László Györfi, Harro Walk; 16(Sep):1863−1877, 2015.
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Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation

Pierre C. Bellec, Alexandre B. Tsybakov; 16(Sep):1879−1892, 2015.
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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.
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Semi-Supervised Interpolation in an Anticausal Learning Scenario

Dominik Janzing, Bernhard Schölkopf; 16(Sep):1923−1948, 2015.
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Towards an Axiomatic Approach to Hierarchical Clustering of Measures

Philipp Thomann, Ingo Steinwart, Nico Schmid; 16(Sep):1949−2002, 2015.
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Predicting a Switching Sequence of Graph Labelings

Mark Herbster, Stephen Pasteris, Massimiliano Pontil; 16(Sep):2003−2022, 2015.
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Learning Using Privileged Information: Similarity Control and Knowledge Transfer

Vladimir Vapnik, Rauf Izmailov; 16(Sep):2023−2049, 2015.
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Alexey Chervonenkis's Bibliography: Introductory Comments

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

Alex Gammerman, Vladimir Vovk; 16(Sep):2067−2080, 2015.
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