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Empirical performance maximization for linear rank statistics
Stéphan Clémençon
,
Nicolas Vayatis
Empirical performance maximization for linear rank statistics, 2009, Advances in Neural Information Processing Systems 21
Book sections
hal-02107196v1
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Machine Learning for Survival Analysis: Empirical Risk Minimization for Censored Distribution-Free Regression with Applications.
Guillaume Ausset
,
Stéphan Clémençon
,
François Portier
NIPS, Workshop ML4H, Dec 2018, Montréal, Canada
Conference papers
hal-02287991v1
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Universal aggregation of permutations
Ekhine Irurozki
,
Stéphan Clémençon
2022
Other publications
hal-03972357v1
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On Anomaly Ranking and Excess-Mass Curves
Nicolas Goix
,
Anne Sabourin
,
Stéphan Clémençon
2014
Preprints, Working Papers, ...
hal-01113521v1
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Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
Stéphan Clémençon
,
Guillaume Ausset
,
François Portier
24th International Conference on Artificial Intelligence and Statistics ( AISTATS2021), 2021, Virtual, France
Conference papers
hal-03559386v1
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Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers
Stéphan Clémençon
,
P. Bertail
,
Guillaume Papa
ACML, Dec 2016, Hamilton, New Zealand
Conference papers
hal-02287361v1
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Adaptive estimation of the transition density of a regular Markov chain.
Stéphan Clémençon
Mathematical Methods of Statistics, 2000, 9, pp.No 4, 323-357
Journal articles
hal-00111268v1
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Regenerative Block-Bootstrap for Markov Chains
Stéphan Clémençon
,
Patrice Bertail
Bernoulli, 2006, 12, pp.No 4, 689-712
Journal articles
hal-00111272v1
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Regenerative block bootstrap for Markov chains
Patrice Bertail
,
Stéphan Clémençon
Journal articles
hal-02107125v1
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Calibrating SVMs with V-fold penalization
Stéphan Clémençon
,
Nicolas Baskiotis
,
Nicolas Usunier
Neural Information Processing Systems workshop on New Frontiers in Model Order Selection, Dec 2011, Sierra Nevada, Spain
Conference papers
hal-01288139v1
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A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization
Robin Vogel
,
Aurélien Bellet
,
Stéphan Clémençon
International Conference on Machine Learning (ICML 2018), 2018, Stockholm, Sweden
Conference papers
hal-01922988v1
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Continuous Ranking trough Oriented Recursive Partitions
Stéphan Clémençon
,
Mastane Achab
NIPS, Dec 2017, Longbeach, United States
Conference papers
hal-02287581v1
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On Survey Sampling and Empirical Risk Minimization
Stéphan Clémençon
,
P. Bertail
,
Emilie Chautru
Statistics, 2015
Journal articles
hal-02286817v1
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Bagging Ranking Trees
Stéphan Clémençon
,
Marine Depecker
,
Nicolas Vayatis
2009 International Conference on Machine Learning and Applications (ICMLA), Dec 2009, Miami, United States. pp.658-663, ⟨10.1109/ICMLA.2009.14⟩
Conference papers
hal-02107271v1
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Ranking Multi-Class Data: Optimality and Pairwise Aggregation
Stéphan Clémençon
,
Sylvain Robbiano
,
Nicolas Vayatis
2011
Preprints, Working Papers, ...
hal-00630496v1
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A Multiresolution Analysis Framework for the Statistical Analysis of Incomplete Rankings
Eric Sibony
,
Stéphan Clémençon
,
Jérémie Jakubowicz
2016
Preprints, Working Papers, ...
hal-01249862v1
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Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm
Stéphan Clémençon
,
Nicolas Vayatis
Book sections
istex
hal-02107171v1
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Overlaying Classifiers: A Practical Approach to Optimal Scoring
Stéphan Clémençon
,
Nicolas Vayatis
Journal articles
istex
hal-02107294v1
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Clustering Rankings in the Fourier Domain
Stéphan Clémençon
,
Romaric Gaudel
,
Jérémie Jakubowicz
Conference papers
hal-00741210v1
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Learning the dependence structure of rare events: a non-asymptotic study
Nicolas Goix
,
Anne Sabourin
,
Stéphan Clémençon
JMLR: Workshop and Conference Proceedings, 2015, 40, pp.1 - 18
Journal articles
hal-02107454v1
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Empirical processes in survey sampling
Patrice Bertail
,
Emilie Chautru
,
Stéphan Clémençon
2013
Preprints, Working Papers, ...
hal-00989585v1
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Maximal Deviations of Incomplete U-statistics with Applications to Empirical Risk Sampling
Stéphan Clémençon
,
Sylvain Robbiano
,
Jessica Tressou
2013
Preprints, Working Papers, ...
hal-00809487v1
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Integration of time as a description parameter in risk characterisation : application to methyl mercury
Philippe Verger
,
Jessica Tressou
,
Stéphan Clémençon
Journal articles
istex
hal-01068804v1
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Edgeworth expansions of suitably normalized sample mean statistics for atomic Markov chains
Stéphan Clémençon
,
Patrice Bertail
,
Stéphan Clémençon
Journal articles
istex
hal-02107119v1
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Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere
Albert Thomas
,
Stéphan Clémençon
,
Alexandre Gramfort
,
Sabourin Anne
AISTATS, Apr 2017, Fort Lauderdale, United States
Conference papers
hal-01519728v1
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Résumé des Travaux en Statistique et Applications des Statistiques
Stéphan Clémençon
Mathématiques [math]. Université de Nanterre - Paris X, 2006
Habilitation à diriger des recherches
tel-00138299v1
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Dissemination of health information within social networks
Charanpal Dhanjal
,
Sandrine Blanchemanche
,
Stéphan Clémençon
,
Akos Rona-Tas
,
Fabrice Rossi
Networks in Social Policy Problems, Cambridge University Press, 312 p., 2012, 978-1-107-00983-7
Book sections
hal-02806077v1
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On Tree-based Methods for Similarity Learning
Stéphan Clémençon
,
Robin Vogel
LOD 2019, 2019, Siena, Italy
Conference papers
hal-02461801v1
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On Medians of (Randomized) Pairwise Means
Pierre Laforgue
,
Stéphan Clémençon
,
Patrice Bertail
36th International Conference on Machine Learning,, 2019, Longbeach, United States
Conference papers
hal-02463910v1
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Multiresolution analysis of incomplete rankings with applications to prediction
Eric Sibony
,
Stéphan Clémençon
,
Jérémie Jakubowicz
Conference papers
hal-01285707v1
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