1. Moment and Probability Inequalities for Sums of Bounded Additive Functionals of a Regular Markov Chains via the Nummelin Splitting Technique. (2001), Statistics and Probability Letters, 55, 227-238.                                               

               

  1. Adaptive Estimation of the Transition Density of a Regular Markov Chain by Wavelet Methods. (2000), Mathematical Methods of Statistics, Vol. 9, N° 4, 323-357.                                               

                 

  1. Statistical analysis of financial time series under the assumption of local stationarity. With S. Slim (Paris X), (2004), Quantitative Finance, Vol. 4, N° 2, 208-220.


  1. Second order validity of the 2-split ARBB for Markov chains.  With P. Bertail (CREST), (2004), in COMPSTAT 2004, Proceedings in Computational Statistics, 16th Symposium Held in Prague, Czech Republic Physica-Verlag, 679-688.          


  1. Ranking and scoring, using empirical risk minimization. With G. Lugosi (Université Pompeu Fabra, Barcelone) &  N. Vayatis (Paris VI), (2005) in Proceedings of Computational Learning Theory, COLT’05  Bertinoro, Italy, June 27-30, 2005. Lecture Notes in Computer Science 3559 Springer, 1-15.      


  1. From Classification to Ranking: a Statistical View. With G. Lugosi (Pompeu Fabra, Barcelona) & N. Vayatis (Paris VI), (2006), in Proceedings of the 29th Annual Conference of the German Classification Society, GfKl 2005, 'Studies in Classification, Data Analysis and Knowledge Organization' series, Vol. 30, 214-221, Springer-Verlag.                                    

                 

  1. Note on the regeneration-based bootstrap for atomic Markov chains. With P. Bertail (CREST Paris X), (2007), in TEST, Vol. 16, 109–122.                                            

                 

  1. Edgeworth expansions for suitably renormalized sample mean statistics of atomic Markov chains. With P. Bertail (CREST), (2004), Probability Theory and Related Fields, N° 130,   388-414.                                             

                 

  1. Regeneration-based statistics for Harris Markov chains. With P. Bertail (CREST Paris X), (2006), in ‘Dependence in Probability and Statistics’, Eds P. Bertail, P. Doukhan & P. Soulier, Lecture Notes in Statistics N° 187,  Springer-Verlag, 1-54.                                            

                 

  1. Regenerative block-bootstrap for Harris Markov chains. With P. Bertail (CREST), (2006), Bernoulli, 12(4), 689-712.  

                 

  1. Approximate regenerative block-bootstrap : some simulation studies.  With P. Bertail (CREST), (2008), in Computational Statistics and Data Analysis, Vol. 52, N° 5, 2739-2756.                                                                                        

                 

  1. Ranking and Empirical Minimization of U-statistics. With G. Lugosi (Pompeu Fabra, Barcelone) & N. Vayatis (Paris VI), (2008), in Annals of Statistics, Vol. 36, N° 2, 844-874.                                       

                 

  1. On Portfolio Selection under Extreme Risk Measure : the Heavy-tailed ICA Model, (2007). With S. Slim (THEMA, Paris X),  International Journal of Theoretical and Applied Finance, Vol. 10, N° 3, May 2007 issue, 449-474.                                             

                 

  1. Some comments on ”Local Rademacher complexities and oracle inequalities in risk minimization” by Vladimir Koltchinskii. With G. Lugosi (Pompeu Fabra, Barcelona) &  N. Vayatis (Paris VI), (2006)  in Annals of Statistics, Vol. 34, N° 6, 2672-2676.                                            

                 

  1. Integration of time as a description parameter in risk characterisation: application to methyl mercury. (2007) with Ph. Verger (INRA) & J. Tressou (INRA), in Regulatory, Toxicology and Pharmacology, Vol. 49, N° 1, 25-30.                                             

                 

  1. On Ranking the Best Instances (2007). With N. Vayatis (ENS Cachan), in Journal of Machine Learning Research, Vol. 8, 2671-2699.                                             

                 

  1. New concepts for in-house method validation based on bootstrap tolerance intervals (2007). With M. Feinberg (INRA) & T. Rebafka (CEA/Telecom Paristech) in Chemometrics and Intelligent Laboratory Systems, Vol. 89, N° 2, 69-81.                                         

                 

  1. The AIDS epidemy in Cuba: why a low prevalence? (2007) With H. de Arazoza (Universidad La Habana, Cuba) & B. Auvert (INSERM, Paris V), in BMC Infectious Disease, 7:130.  


  1. A regeneration-based runs estimator for the extremal index in the Markov setup (2008), with P. Bertail (CREST Paris X) & J. Tressou (INRA), in Proceedings of IWAP’08, International Workshop in Applied Probability, UTC, France.


  1. Regenerative Block-Bootstrap Confidence Intervals for the Extremal Index, (2008) with P. Bertail (CREST Paris X) & J. Tressou (INRA), in Proceedings of IWAP’08, International Workshop in Applied Probability, UTC, France.                                      

                                                  

  1. A storage model with random release rate for modeling exposure to food contaminant. With P. Bertail (CREST) & J. Tressou (INRA), (2008), in Mathematical Biosciences and Engineering, Vol. 5, N° 1, 35-60.                                            

                 

  1. A Stochastic Epidemic Model with Contact-Tracing: Large Population Approximation and Statistical Estimation (2008). With H. de Arazoza (Universidad La Habana, Cuba)  & V.C. Tran (Lille 1), in Journal of Biological Dynamics, Vol. 2, N° 4, 392-414. 


  1. Approximation of the optimal ROC curve and a tree-based ranking algorithm (2008) with N. Vayatis (ENSC). In Proceedings of ALT’08, Budapest (Hungary) 13-18 Oct. 2008. Algorithmic Learning Theory, 22-37, Lecture Notes in Science, Vol. 5254, eds Y. Freund, L. Györfi, G. Turan, T. Zeugmann, Springer.


  1. On Bootstrapping the ROC curve, (2009). With N. Vayatis (ENSC) & P. Bertail (Paris X), in Advances in Neural Information Processing Systems 21, eds D. Koller and D. Schuurmans and Y. Bengio and L. Bottou, 137-144.


  1. Overlaying classifiers: a practical approach for optimal ranking, (2009). With N. Vayatis (ENSC), in Advances in Neural Information Processing Systems 21, eds D. Koller and D. Schuurmans and Y. Bengio and L. Bottou, 313-320.                                         


  1. Empirical performance maximization based on linear rank statistics, (2009). With N. Vayatis (ENSC), in Advances in Neural Information Processing Systems 21, eds D. Koller and D. Schuurmans and Y. Bengio and L. Bottou, 305-312.


  1. On Partitioning Rules for Bipartite Ranking. With N. Vayatis (ENSC) (2009), Proceedings of The Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: W&CP 5, 97-104, Clearwater Beach, Florida, April 16-18, 2009.


  1. Nonparametric Estimation of the Precision-Recall Curve. With N. Vayatis (ENSC) (2009). In Proceedings of ICML’09, International Conference in Machine Learning, 185-192 Montréal, Canada.   


  1. Approximate Regenerative Block-Bootstrap for Hidden Markov Models, with A. Garivier (CNRS) & J. Tressou (Hong Kong UST). In Proceedings of IEEE Statistical Signal Processing, SSP‘2009, Cardiff, Whales (UK).   


  1. Adaptive estimation of the optimal ROC curve and a bipartite ranking algorithm. With N. Vayatis (ENSC) (2009). In Proceedings of ALT’09, Porto (Portugal) 3-5 Oct. 2009. Algorithmic Learning Theory, 216-231, Lecture Notes in Science, Vol. 5801 Springer, Berlin/Heidelberg.


  1. AUC maximization and the two-sample problem. With M. Depecker (Telecom ParisTech) and N. Vayatis (ENSC) (2009). In Advances in Neural Information Processing Systems 2010, Vancouver (Canada).     


  1. Bagging Ranking Trees. With M. Depecker (Telecom ParisTech) and N. Vayatis (ENSC) (2009). In  Proceedings of the IEEE International Conference in Machine Learning and its Applications 2009 Miami (USA), 658-663.


  1. Données avec label binaire: avancées récentes dans le domaine de l’apprentissage statistique d’ordonnancements. With M. Depecker (Telecom ParisTech) and N. Vayatis (ENSC) (2010). In the Proceedings of CAp‘2010, Clermont-Ferrand (France).


  1. Services Objectivization : a Ranking Approach. With M. Depecker (Telecom ParisTech) and A. Saint-Marcoux (Renault - Dream DTAA). In the IEEE proceedings of SEDM 2010, International Conference on Software Engineering and Data Mining, Chengdu (China).


  1. Kantorovich distances between rankings with applications to rank aggregation. With J. Jakubowicz (Telecom ParisTech). In the Proceedings of ECML 2010, European Conference in Machine-Learning, Barcelona (Spain).                                                     

                 

  1. Sharp Bounds for the Tails of Functionals of Harris Markov Chains (2010). With P. Bertail (CREST Paris X) in Theory of Probability and its Applications, Vol. 54(3), 505-515.                                   

                       

  1. Extreme values statistics for Harris Markov chains via the (pseudo-) regenerative method, (2009). With P. Bertail (CREST Paris X) & J. Tressou (INRA) in Extremes, vol. 12, No. 4, 327-360.                                                  

                       

  1. Exposition aux risques alimentaires et processus stochastiques, (2009). With J. Tressou (INRA). Journal de la Société Française de Statistique, Vol. 150, N° 1, 3-29.                                      

                 

  1. The RankOver algorithm: overlaid classification rules for optimal ranking. with N. Vayatis (ENSC) (2010). In Constructive Approximation, Vol. 32, 619-648.              

                                         

  1. Tree-based ranking methods. With N. Vayatis (ENSC) (2009). In IEEE Transactions on Information Theory, Vol. 55, N° 9, 4316-433.               

                 

  1. Statistical analysis of a dynamic model for food contaminant exposure with applications to dietary methylmercury contamination. With P. Bertail (Paris X) & J. Tressou (INRA), (2010). In Journal of Biological Dynamics, Volume 4, Issue 2, 212 - 234.                                   

                 

  1. Données avec label binaire: avancées récentes dans le domaine de l’apprentissage statistique d’ordonnancements. With M. Depecker (Telecom ParisTech) and N. Vayatis (ENSC) (2011). In Revue d’Intelligence Artificielle, Vol. 25, N°3, 345-368.      

         

  1. Adaptive partitioning schemes for bipartite ranking: how to grow and prune a ranking tree. With M. Depecker (Telecom ParisTech) and N. Vayatis (ENSC) (2010). In Machine Learning, Vol. 43, N° 1, 31-69.


  1. Extraction of food consumption systems by non-negative matrix factorization (NMF) for the assessment of food choices. With M. Zetlaoui (INRA), P. Verger (WHO) and M. Feinberg (INRA) (2011). In Biometrics, Vol. 67, Issue 4 Pages 1185–1679.


  1. A Renewal Approach to markovian U-statistics. With P. Bertail (Paris X) (2011). In Mathematical Methods of Statistics, Vol. 20,  N° 2, 79-105.


  1. On maximizing influence. With C. Dhanjal (Telecom ParisTech). In Proceedings of The SIAM Conference on Data Mining  2011, Phoenix (USA).


  1. Hierarchical Clustering for Graph Visualization. With H. de Arazoza, V.C. Tran and F. Rossi (2011). In Proceedings of the European Symposium on Artifical Neural Networks, ESANN 2011 Bruges (Belgium).


  1. Visual Mining of Epidemic Networks. With H. de Arazoza, V.C. Tran and F. Rossi (2011). In Proceedings of the International Work Conference on Artifical Neural Networks, IWANN 2011 Torremolinos (Spain).


  1. A wavelet-based approach to functional bipartite ranking. With M. Depecker (CEA, LIST) (2011). In Proceedings of IEEE Statistical Signal Processing 2011, Nice (France).


  1. Le Filtrage collaboratif vu comme un problème de consensus d’ordonnancements. With R. Gaudel (Telecom ParisTech) (2011). In Proceedings of CAp‘2011, Chambéry (France).


  1. Minimax Learning Rates for Bipartite Ranking and Plug-in rules. With S. Robbiano (Telecom ParisTech) (2011). In Proceedings of the International Conference in Machine Learning 2011, Seattle (USA).


  1. Prédiction de l’occurence d’une baisse de prix pour le conseil à l’achat d’un billet en ligne. With T. Wohlfarth (Telecom ParisTech), F. Roueff (Telecom ParisTech) and X. Casellato (Liligo). In Proceedings of GRETSI 2011.


  1. On Clustering Rank Data in the Fourier Domain. With R. Gaudel (Telecom ParisTech) and J. Jakubowicz (Telecom ParisTech). In Proceedings of the European Conference in Machine Learning 2011, Athens (Greece).


  1. Nonparametric scoring methods as a support decision tool for medical diagnosis. The TreeRank algorithm and its variants. (2011). With M. Depecker (CEA-LIST) and N. Vayatis (ENSC). In Proceedings of ECML PKDD 2011, Workshop on Knowledge Discovery in Health Care and Medicine, Athens (Greece). 


  1. On U-processes and clustering performance. (2011). In Advances in Neural Information Processing Systems 2011, Granada (Spain).  


  1. A data-mining approach to travel price forecasting. With T. Wohlfarth (Telecom ParisTech), F. Roueff (Telecom ParisTech) and X. Casellato (Liligo). In Proceedings of the International Conference in Machine Learning and its Applications 2012, Hawaï (USA).   


  1. Calibrating SVMs with V-fold penalization. (2011). With N. Baskiotis (UPMC), N. Usunier (UPMC). In Proceedings of NIPS 2011, Workshop on Model Order Selection, Granada (Spain)


  1. Incremental Spectral Clustering with the Normalised Laplacian. (2011). With C. Dhanjal (UPMC) and R. Gaudel (Lille 3). In Proceedings of NIPS 2011, Workshop on Discrete Optimization in Machine-Learning, Granada (Spain).


Deterministic modeling for transmission of Human Papillomavirus 6/11: impact of vaccination. With L. Majed (INSERM - Paris V) and R. Lounes (Paris V). To appear in Mathematical Medicine and Biology.


Impact of human papillomavirus vaccination on anal cancer incidence in French women. (2012). With L. Majed (INSERM - Paris V) and R. Lounes (Paris V). In Journal of Public Health and Epidemiology, vol. 4, No. 5, pp 141-149.


Efficacy of Vaccination against HPV Infections to Prevent Cervical Cancer in France: Present Assessment and Pathways to Improve Vaccination Policies. With L. Majed (INSERM - Paris V) and  R. Lounes (Paris V) (2012). In Plos One, vol. 7, n°3.


New approach for the assessment of cluster diets. (2013) With T. Barré (WHO), M. Feinberg (INRA), P. Verger (WHO), A. Crépet (ANSES) and M. Sy (INRA). In Food and Chemical Toxicology, Vol. 52, pp 180-187.


An Empirical Comparison of Learning Algorithms for Nonparametric Scoring - The TreeRank Algorithm and Other Methods. With M. Depecker (Telecom ParisTech) and N. Vayatis (ENSC) (2013). In  Pattern Analysis and its Applications, Vol. 16, No. 4, pp 475-496.


Ranking Forests. With M. Depecker (Telecom ParisTech) and N. Vayatis (ENSC) (2013). In  Journal of Machine Learning Research, Vol. 14, pp 39-73.


Ranking Data with Ordinal Labels: Optimality and Pairwise Aggregation. With S. Robbiano (Telecom ParisTech) and N. Vayatis (ENSC) (2013). In Machine Learning. Vol. 93, No. 1, pp 67-104.


Maximal Deviations of Incomplete U-statistics with Applications to Empirical Risk Sampling. With S. Robbiano (Telecom ParisTech) and J. Tressou (INRA) (2013). In the Proceedings of the SIAM International Conference on Data-Mining SDM13, Austin (USA).


Regenerative Block-Bootstrap Confidence Intervals for the Tail and Extremal Indexes. With P. Bertail (Paris X) and J. Tressou (INRA) (2013). In Electronic Journal of Statistics. Vol. 7, pp 1224-1248.


Scoring anomalies : a M-estimation formulation. With J. Jakubowicz (Telecom Sud-Management) (2013). In JMLR W&CP, Vol. 31, Proceedings of AISTATS 2013, Scottsdale (USA).


On-Line Learning Gossip Algorithm in Multi-Agent Systems with Local Decision Rules. With P. Bianchi (Telecom ParisTech), J. Jakubowicz (Telecom Sud Management) & G. Morral Adel (Telecom ParisTech). In the Proceedings of  the 2013 IEEE International Conference on Big Data, Santa Clara (USA).


A statistical view of clustering performance through the theory of U-processes. (2014), In Journal of Multivariate Analysis, Vol. 124, pp 42-56


Efficient Eigen-updating for Spectral Graph Clustering. (2014). With C. Dhanjal (Télécom ParisTech) and R. Gaudel (Lille 3). To appear in Neurocomputing.


Learning Reputation in an Authorship Network. With C. Dhanjal (Télécom ParisTech). To appear in the Proceedings of the 29-th ACM Symposium on Applied Computing, Gyeongju (Corée), Mars 2014.


Online Matrix Completion Through Nuclear Norm Regularisation. With C. Dhanjal (Télécom ParisTech) and R. Gaudel (Lille 3). To appear in In the Proceedings of the SIAM International Conference on Data-Mining SDM14, Philadelphia (USA), 2014.


A stochastic graph-based model for epidemics. With C. Dhanjal (Télécom ParisTech). To appear in In the Proceedings of the SIAM International Conference on Data-Mining SDM14-Networks, Philadelphia (USA), 2014.


On Recent Advances in Supervised Ranking for Metabolite Profiling. With C. Dhanjal (Télécom ParisTech). To appear in In the Proceedings of the SIAM International Conference on Data-Mining SDM-DMMH, Philadelphia (USA), 2014.


Building confidence regions for the ROC surface. With S. Robbiano (Télécom ParisTech). To appear in Pattern Recognition Letters, 2014.


Anomaly Ranking as Supervised Bipartite Ranking. With S. Robbiano (Télécom ParisTech). To appear in In the Proceedings of the International Conference in Machine Learning ICML’14, Beijing (China), 2014.


Learning the Graph of Relations Among Multiple Tasks. With A. Argyriou (Centrale Paris) and R. Zhang. In the Proceedings of ICML 2014, Workshop on New Learning Models and Frameworks for Big Data, 2014.


Tail Index Estimation Based on Survey Data. With P. Bertail (Université Paris-Ouest) and E. Chautru (Télécom ParisTech). To appear in ESAIM Probability & Statistics, 2014.


An Empirical Comparison of V-fold Penalisation and Cross Validation for Model Selection in Distribution-Free Regression. With C. Dhanjal (Télécom ParisTech), Nicolas Bakiotis (UPMC) and Nicolas Usunier (UTC). To appear in Pattern Analysis and its Applications, 2014.


Improving dietary exposure models by imputing biomonitoring data through ABC methods. With C. Béchaux (ANSES) and A. Crépet (ANSES). To appear in International Journal of Biostatistics, 2014.


  1. Matrix Completion with Nuclear Norm Regularisation in a Sequential Context. With R. Gaudel (Lille 1) and C. Dhanjal (Télécom ParisTech) (2014). In Proceedings of CAp‘2014, Saint-Etienne (France).


  2. Learning the Graph of Relations Among Multiple Tasks. With R. Argyriou (Centrale Paris) and R. Zhang (Télécom ParisTech) (2014). In Proceedings of CAp‘2014, Saint-Etienne (France).


Scaling-up M-estimation via sampling designs: the Horvitz-Thompson stochastic gradient descent. With P. Bertail (Université Paris-Ouest) & E. Chautru (Mines ParisTech). In the Proceedings of  the 2014 IEEE International Conference on Big Data, Washington (USA).


The TreeRank Tournament Algorithm for Multipartite Ranking. With S. Robbiano (University College of London) (2014). To appear in Journal of Nonparametric Statistics.


Bootstrapping Robust Statistics for Markovian Data - Applications to Regenerative  R- and L- statistics. With P. Bertail (Université Paris-Ouest) & J. Tressou (INRA). To appear in Journal of Time Series Analysis.


Multiresolution analysis of incomplete rankings with applications to prediction. With Jérémie Jakubowicz (Telecom Sud Paris) & E. Sibony (Telecom ParisTech). To appear in the Proceedings of  the 2014 IEEE Big Data - Workshop on Scalable Machine Learning, Washington (USA).


  1. Collaborative Filtering with Localised Ranking. With R. Gaudel (Lille 1) and C. Dhanjal (Télécom ParisTech) (2015). In Proceedings of AAAI‘2015, Austin (Texas, USA).


Extreme Value Statistics for Markov Chains with Applications to Finance and Insurance. With P. Bertail (Université Paris-Ouest) & C. Tillié (Université Paris-Ouest). In the proceedings of the Conference on  Extreme Events in Finance, Royaumont (Asnière sur Oise, France).


On Anomaly Ranking and Excess-Mass Curves. With N. Goix (Telecom ParisTech) & A. Sabourin (Telecom ParisTech). In the proceedings of the AISTATS 2015, San Diego (California, USA).


An Ensemble Learning Technique for Multipartite Ranking. With S. Robbiano (UCL), 2015. In the proceedings of the ESANN 2015 special session «Beyond classification: confidence, rejection, AUC optimization, etc.», Bruges (Belgium).





Wavelet methods for nonparametric statistics based on Markovian data (2000) PhD Thesis in Applied Mathematics Université Denis Diderot Paris VII.


Note on the practical implementation of two algorithms for estimating the transition density of a regular Markov chain (2002) Technical Report of University Paris X.


Nonparametric Estimation for Some Specific Classes of Hidden Markov Models (2003). Technical Report of University Paris X N° 03-9.


Habilitation Thesis (2006). University Paris X.


Dissemination of Health Information within Social Networks. With S. Blanchemanche (INRA), C. Dhanjal, (Telecom ParisTech), A. Rona-Tas (UC San Diego) and Fabrice Rossi (Telecom ParisTech). In Networks in Social Policy Problems, Cambridge University Press. Edited by Marco Scotti & Balazs Vedres. (2012)


Modèles de Ruine – Applications en Santé. Avec P. Bertail (Paris X) et J. Tressou (INRA) (2010). Dans « Approches Statistiques du Risque », édité par la Société Française de Statistique.  





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Stéphan Clémençon

 

Stéphan Clémençon