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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

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
Other publications hal-03972357v1
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On Anomaly Ranking and Excess-Mass Curves

Nicolas Goix , Anne Sabourin , Stéphan Clémençon
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

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

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

Regenerative Block-Bootstrap for Markov Chains

Stéphan Clémençon , Patrice Bertail
Bernoulli, 2006, 12, pp.No 4, 689-712
Journal articles hal-00111272v1

Regenerative block bootstrap for Markov chains

Patrice Bertail , Stéphan Clémençon
Bernoulli, 2006, 12 (4), pp.689-712. ⟨10.3150/bj/1155735932⟩
Journal articles hal-02107125v1

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

Continuous Ranking trough Oriented Recursive Partitions

Stéphan Clémençon , Mastane Achab
NIPS, Dec 2017, Longbeach, United States
Conference papers hal-02287581v1

On Survey Sampling and Empirical Risk Minimization

Stéphan Clémençon , P. Bertail , Emilie Chautru
Statistics, 2015
Journal articles hal-02286817v1

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
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
Preprints, Working Papers, ... hal-01249862v1

Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm

Stéphan Clémençon , Nicolas Vayatis
Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm, pp.22-37, 2008, ⟨10.1007/978-3-540-87987-9_7⟩
Book sections istex hal-02107171v1

Overlaying Classifiers: A Practical Approach to Optimal Scoring

Stéphan Clémençon , Nicolas Vayatis
Constructive Approximation, 2010, 32 (3), pp.619-648. ⟨10.1007/s00365-010-9084-9⟩
Journal articles istex hal-02107294v1
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Clustering Rankings in the Fourier Domain

Stéphan Clémençon , Romaric Gaudel , Jérémie Jakubowicz
ECML - European Conference on Machine Learning - 2011, Sep 2011, Athènes, Greece. pp.343-358, ⟨10.1007/978-3-642-23780-5_32⟩
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
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
Preprints, Working Papers, ... hal-00809487v1

Integration of time as a description parameter in risk characterisation : application to methyl mercury

Philippe Verger , Jessica Tressou , Stéphan Clémençon
Regulatory Toxicology and Pharmacology, 2007, 49 (1), pp.25-30. ⟨10.1016/j.yrtph.2007.04.010⟩
Journal articles istex hal-01068804v1

Edgeworth expansions of suitably normalized sample mean statistics for atomic Markov chains

Stéphan Clémençon , Patrice Bertail , Stéphan Clémençon
Probability Theory and Related Fields, 2004, 130 (3), pp.388-414. ⟨10.1007/s00440-004-0360-0⟩
Journal articles istex hal-02107119v1

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

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

Multiresolution analysis of incomplete rankings with applications to prediction

Eric Sibony , Stéphan Clémençon , Jérémie Jakubowicz
BIGDATA 2014 : International Conference on Big Data, Oct 2014, Washington, United States. pp.88 - 95, ⟨10.1109/BigData.2014.7004361⟩
Conference papers hal-01285707v1