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Universal aggregation of permutations
Ekhine Irurozki
,
Stéphan Clémençon
2022
Proceedings/Recueil des communications
hal-03972357v1
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Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
Stéphan Clémençon
,
Guillaume Ausset
,
François Portier
2021
Proceedings/Recueil des communications
hal-03559386v1
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On Binary Classification in Extreme Regions
Hamid Jalalzai
,
Stéphan Clémençon
,
Anne Sabourin
2018
Proceedings/Recueil des communications
hal-01932813v1
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Maximal Deviations of Incomplete U-statistics with Applications to Empirical Risk Sampling
Stéphan Clémençon
,
Sylvain Robbiano
,
Jessica Tressou
2013
Pré-publication, Document de travail
hal-00809487v1
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Empirical performance maximization for linear rank statistics
Stéphan Clémençon
,
Nicolas Vayatis
2009, Advances in Neural Information Processing Systems 21
Proceedings/Recueil des communications
hal-02107196v1
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Bagging Ranking Trees
Stéphan Clémençon
,
Marine Depecker
,
Nicolas Vayatis
Proceedings/Recueil des communications
hal-02107271v1
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Learning the dependence structure of rare events: a non-asymptotic study
Nicolas Goix
,
Anne Sabourin
,
Stéphan Clémençon
40, pp.1 - 18, 2015
Proceedings/Recueil des communications
hal-02107454v1
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A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization
Robin Vogel
,
Aurélien Bellet
,
Stéphan Clémençon
2018
Proceedings/Recueil des communications
hal-01922988v1
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Continuous Ranking trough Oriented Recursive Partitions
Stéphan Clémençon
,
Mastane Achab
NIPS, Dec 2017, Longbeach, United States
Communication dans un congrès
hal-02287581v1
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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
Communication dans un congrès
hal-02287991v1
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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
Communication dans un congrès
hal-02287361v1
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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
Communication dans un congrès
hal-01288139v1
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On Survey Sampling and Empirical Risk Minimization
Stéphan Clémençon
,
P. Bertail
,
Emilie Chautru
Statistics, 2015
Article dans une revue
hal-02286817v1
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On Anomaly Ranking and Excess-Mass Curves
Nicolas Goix
,
Anne Sabourin
,
Stéphan Clémençon
2014
Pré-publication, Document de travail
hal-01113521v1
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Ranking Multi-Class Data: Optimality and Pairwise Aggregation
Stéphan Clémençon
,
Sylvain Robbiano
,
Nicolas Vayatis
2011
Pré-publication, Document de travail
hal-00630496v1
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Regenerative block bootstrap for Markov chains
Patrice Bertail
,
Stéphan Clémençon
Article dans une revue
hal-02107125v1
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Empirical processes in survey sampling
Patrice Bertail
,
Emilie Chautru
,
Stéphan Clémençon
2013
Pré-publication, Document de travail
hal-00989585v1
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Regenerative Block-Bootstrap for Markov Chains
Stéphan Clémençon
,
Patrice Bertail
Bernoulli, 2006, 12, pp.No 4, 689-712
Article dans une revue
hal-00111272v1
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Overlaying Classifiers: A Practical Approach to Optimal Scoring
Stéphan Clémençon
,
Nicolas Vayatis
Article dans une revue
istex
hal-02107294v1
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Clustering Rankings in the Fourier Domain
Stéphan Clémençon
,
Romaric Gaudel
,
Jérémie Jakubowicz
Communication dans un congrès
hal-00741210v1
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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
Article dans une revue
hal-00111268v1
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Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm
Stéphan Clémençon
,
Nicolas Vayatis
Chapitre d'ouvrage
istex
hal-02107171v1
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A Multiresolution Analysis Framework for the Statistical Analysis of Incomplete Rankings
Eric Sibony
,
Stéphan Clémençon
,
Jérémie Jakubowicz
2016
Pré-publication, Document de travail
hal-01249862v1
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Integration of time as a description parameter in risk characterisation : application to methyl mercury
Philippe Verger
,
Jessica Tressou
,
Stéphan Clémençon
Article dans une revue
istex
hal-01068804v1
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On Aggregation in Ranking Median Regression.
Stéphan Clémençon
,
Anna Korba
2018
Proceedings/Recueil des communications
hal-02288509v1
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AUC optimization and the two-sample problem
Stéphan Clémençon
,
Marine Depecker
,
Nicolas Vayatis
2009, Advances in Neural Information Processing Systems 22
Proceedings/Recueil des communications
hal-02107262v1
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Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics
Myrto Limnios
,
Nathan Noiry
,
Stéphan Clémençon
Proceedings of Machine Learning Research, 154, 2021, Proceedings of Machine Learning Research
N°spécial de revue/special issue
hal-03345735v1
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Sharp exponential inequalities in survey sampling : conditional Poisson sampling schemes,
Patrice Bertail
,
Stéphan Clémençon
Article dans une revue
hal-01709825v1
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On Tree-based Methods for Similarity Learning
Stéphan Clémençon
,
Robin Vogel
2019, In: Nicosia G., Pardalos P., Umeton R., Giuffrida G., Sciacca V. (eds) Machine Learning, Optimization, and Data Science. LOD 2019. Lecture Notes in Computer Science, vol 11943. Springer, Cham
Proceedings/Recueil des communications
hal-02461801v1
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On Medians of (Randomized) Pairwise Means
Pierre Laforgue
,
Stéphan Clémençon
,
Patrice Bertail
97, 2019, Proceedings of Machine Learning Research
Proceedings/Recueil des communications
hal-02463910v1
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