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Year of publication
Subject
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fast rates 3 margin condition 2 Bahadur efficiency 1 Bellman residual minimization 1 Cluster analysis 1 Empirical risk minimization 1 Fast rates 1 GDP forecasting 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1 Median clustering 1 Minimax lower bound 1 PACBayesian bounds 1 Pairwise dissimilarity 1 Statistical learning theory 1 Theorie 1 Theory 1 U-process 1 classification 1 excess risk 1 fitted Q-iteration 1 mixing 1 offline reinforcement learning 1 optimal rate of convergence 1 oracle inequalities 1 statistical learning 1 time series forecasting 1 weak dependence 1
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Online availability
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Undetermined 3
Type of publication
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Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 3 English 1
Author
All
Clémençon, Stéphan 1 Hu, Yichun 1 Kallus, Nathan 1 Kerkyacharian, Gerard 1 Koltchinskii, Vladimir 1 Olivier, Wintenberger 1 Picard, Dominique 1 Pierre, Alquier 1 Templyakov, Vladimir Temlyakov 1 Tsybakov, Alexandre B. 1 Uehara, Masatoshi 1 Xiaoyin, Li 1
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Institution
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Centre de Recherche en Économie et Statistique (CREST), Groupe des Écoles Nationales d'Économie et Statistique (GENES) 1
Published in...
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Dependence Modeling 1 Journal of Multivariate Analysis 1 Mathematics of operations research 1 Working Papers / Centre de Recherche en Économie et Statistique (CREST), Groupe des Écoles Nationales d'Économie et Statistique (GENES) 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Fast rates for the regret of offline reinforcement learning
Hu, Yichun; Kallus, Nathan; Uehara, Masatoshi - In: Mathematics of operations research 50 (2025) 1, pp. 633-655
Persistent link: https://www.econbiz.de/10015211758
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A statistical view of clustering performance through the theory of U-processes
Clémençon, Stéphan - In: Journal of Multivariate Analysis 124 (2014) C, pp. 42-56
Many clustering techniques aim at optimizing empirical criteria that are of the form of a U-statistic of degree two. Given a measure of dissimilarity between pairs of observations, the goal is to minimize the within cluster point scatter over a class of partitions of the feature space. It is the...
Persistent link: https://www.econbiz.de/10010737759
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Prediction of time series by statistical learning: general losses and fast rates
Pierre, Alquier; Xiaoyin, Li; Olivier, Wintenberger - In: Dependence Modeling 1 (2014) January, pp. 65-93
prove that the Gibbs estimator actually achieves fast rates of convergence d/n. We discuss the optimality of these different …
Persistent link: https://www.econbiz.de/10011008551
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Optimal Exponential Bounds on the Accuracy of Classification
Kerkyacharian, Gerard; Tsybakov, Alexandre B.; … - Centre de Recherche en Économie et Statistique … - 2013
Persistent link: https://www.econbiz.de/10010747008
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