A random forest guided tour von Biau, Gérard, Scornet, Erwan

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CONSISTENCY OF RANDOM FORESTS von Scornet, Erwan, Biau, Gérard, Vert, Jean-Philippe

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Analysis of a random forests model von Biau, Gérard

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SOME THEORETICAL PROPERTIES OF GANS von Biau, Gérard, Cadre, Benoît, Sangnier, Maxime, Tanielian, Ugo

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Neural Random Forests von Biau, Gérard, Scornet, Erwan, Welbl, Johannes

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Consistency of random forests and other averaging classifiers von Biau, Gérard, Devroye, L., Lugosi, G.

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Parameter Selection for Principal Curves von Biau, Gérard, Fischer, A.

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New insights into Approximate Bayesian Computation von Biau, Gérard, Cérou, Frédéric, Guyader, Arnaud

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Rejoinder on: A random forest guided tour von Biau, Gérard, Scornet, Erwan

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On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification von Biau, Gérard, Devroye, Luc

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On the Performance of Clustering in Hilbert Spaces von Biau, G., Devroye, L., Lugosi, G.

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Sequential Quantile Prediction of Time Series von Biau, Gérard, Patra, Benoît

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The Statistical Performance of Collaborative Inference von Biau, Gérard, Bleakley, Kevin, Cadre, Benoît

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Supervised reconstruction of biological networks with local models von Bleakley, Kevin, Biau, Gérard, Vert, Jean-Philippe

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On the rate of convergence of the bagged nearest neighbor estimate von Biau, Gérard, Cérou, Frédéric, Guyader, Arnaud

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Rates of Convergence of the Functional k-Nearest Neighbor Estimate von Biau, Gérard, Cerou, Frédéric, Guyader, Arnaud

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COBRA: A combined regression strategy von Biau, Gérard, Fischer, Aurélie, Guedj, Benjamin, Malley, James D.

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Some Theoretical Insights into Wasserstein GANs von Biau, Gérard, Sangnier, Maxime, Tanielian, Ugo

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Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory von Kruppa, Jochen, Liu, Yufeng, Biau, Gérard, Kohler, Michael, König, Inke R., Malley, James D., Ziegler, Andreas

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Sparse single-index model von Alquier, Pierre, Biau, Gérard

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