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Représentations continues dérivées des caractères pour un modèle de langue neuronal à vocabulaire ouvert

Matthieu Labeau , Alexandre Allauzen
TALN-RECITAL 2017, Jun 2017, Orléans, France
Conference papers hal-02912472v1

Experimenting with Power Divergences for Language Modeling

Matthieu Labeau , Shay B Cohen
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov 2019, Hong Kong, China. pp.4102-4112, ⟨10.18653/v1/D19-1421⟩
Conference papers hal-02912374v1

LIMSI$@$WMT'15 : Translation Task

Benjamin Marie , Alexandre Allauzen , Franck Burlot , Quoc-Khanh Do , Julia Ive , et al.
Proceedings of the Tenth Workshop on Statistical Machine Translation, Sep 2015, Lisbon, Portugal. pp.145-151, ⟨10.18653/v1/W15-3016⟩
Conference papers hal-02912383v1
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Particle rejuvenation of Rao-Blackwellized Sequential Monte Carlo smoothers for Conditionally Linear and Gaussian models

Ngoc Minh Nguyen , Sylvain Le Corff , Éric Moulines
EURASIP Journal on Advances in Signal Processing, 2017, 54, ⟨10.1186/s13634-017-0489-5⟩
Journal articles hal-01555274v1
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The Verriest Lecture: Visual properties of metameric blacks beyond cone vision

Françoise Viénot , Hans Brettel
Journal of the Optical Society of America. A Optics, Image Science, and Vision, 2014, 31, ⟨10.1364/JOSAA.31.000A38⟩
Journal articles hal-01565638v1

Concentration inequalities for Harris recurrent Markov chains

Gabriela Ciolek , P. Bertail
The 39th Conference on Stochastic Processes and their Applications, Jul 2017, Moscow, Russia
Conference papers hal-02288511v1

From Ranking to Classification: A Statistical View

Stéphan Clémençon , Gabor Lugosi , Nicolas Vayatis
From Ranking to Classification: A Statistical View, Springer-Verlag, pp.214-221, 2006, Studies in Classification, Data Analysis, and Knowledge Organization, 978-3-540-31314-4. ⟨10.1007/3-540-31314-1_25⟩
Book sections istex hal-02107086v1

Ranking and Scoring Using Empirical Risk Minimization

Stéphan Clémençon , Gabor Lugosi , Nicolas Vayatis
Ranking and Scoring Using Empirical Risk Minimization, , pp.1-15, 2005, Lecture Notes in Computer Science book series (LNCS, volume 3559), ⟨10.1007/11503415_1⟩
Book sections istex hal-02107107v1

Ranking and Empirical Minimization of U -statistics

Stéphan Clémençon , Gabor Lugosi , Nicolas Vayatis
Annals of Statistics, 2008, 36 (2), pp.844-874. ⟨10.1214/009052607000000910⟩
Journal articles hal-02107134v1


Stéphan Clémençon , Skander Slim
International Journal of Theoretical and Applied Finance, 2007, 10 (03), pp.449-474. ⟨10.1142/S0219024907004275⟩
Journal articles hal-02107138v1

The HIV/AIDS epidemic in Cuba: description and tentative explanation of its low HIV prevalence

Hector de Arazoza , Jose Joanes , Rachid Lounes , Camille Legeai , Stéphan Clémençon , et al.
BMC Infectious Diseases, 2007, 7 (1), ⟨10.1186/1471-2334-7-130⟩
Journal articles hal-02107160v1

A renewal approach to Markovian U-statistics

P. Bertail , Stéphan Clémençon
Mathematical Methods of Statistics, 2011, 20 (2), pp.79-105. ⟨10.3103/S1066530711020013⟩
Journal articles hal-02107313v1
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Weighted Empirical Risk Minimization: Transfer Learning based on Importance Sampling

Stéphan Clémençon , Robin Vogel , Mastane Achab , Charles Tillier
28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ( ESANN 2020), 2020, Bruges (on line), Belgium
Conference papers hal-03559387v1

The LEXNET project: wireless networks and EMF: paving the way for low-EMF networks of the future

Milos Tesanovic , Emmanuelle Conil , Antonio de Domenico , Ramon Aguero , Frederik Freudenstein , et al.
IEEE Vehicular Technology Magazine, 2014, 9 (2), pp.20-28. ⟨10.1109/MVT.2014.2312272⟩
Journal articles hal-02287683v1

Statistical learning based on Markovian data maximal deviation inequalities and learning rates

Stéphan Clémençon , Patrice Bertail , Gabriela Ciołek
Annals of Mathematics and Artificial Intelligence, 2019, ⟨10.1007/s10472-019-09670-6⟩
Journal articles hal-02463908v1

Analysis of the limiting spectral measure of large random matrices of the separable covariance type

Romain Couillet , Walid Hachem
Random Matrices: Theory and Applications, 2015, 3 (4)
Journal articles hal-02287068v1

A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks

Umut Şimşekli , Levent Sagun , Mert Gurbuzbalaban
International Conference on Machine Learning, Jun 2019, Long Beach, United States
Conference papers hal-03269101v1

PBPK and population modelling to interpret urine cadmium concentrations of the French population

Camille Bechaux , Laurent Bodin , Stéphan Clémençon , Amélie Crépet
Toxicology and Applied Pharmacology, 2014, 279 (3), pp.364-372. ⟨10.1016/j.taap.2014.06.026⟩
Journal articles hal-02107431v1
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Learning from ranking data : theory and methods

Anna Korba
Statistics [math.ST]. Université Paris Saclay (COmUE), 2018. English. ⟨NNT : 2018SACLT009⟩
Theses tel-01983274v1

A statistical view of clustering performance through the theory of U -processes

Stéphan Clémençon
Journal of Multivariate Analysis, 2014, 124, pp.42-56. ⟨10.1016/j.jmva.2013.10.001⟩
Journal articles hal-02107396v1

Improving Dietary Exposure Models by Imputing Biomonitoring Data through ABC Methods

Camille Bechaux , Amélie Crépet , Stéphan Clémençon
The international journal of biostatistics, 2014, 10 (2), ⟨10.1515/ijb-2013-0062⟩
Journal articles hal-02107429v1

Snake: a stochastic proximal gradient algorithm for regularized problems over large graphs

Adil Salim , Pascal Bianchi , Walid Hachem
IEEE Transactions on Automatic Control, 2018
Journal articles hal-02287871v1

Mass volume curves and anomaly ranking

Stéphan Clémençon , Albert Thomas
Electronic Journal of Statistics , 2018, 12 (2), pp.2806-2872. ⟨10.1214/18-EJS1474⟩
Journal articles hal-02107531v1
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On Bootstrapping the ROC Curve

Patrice Bertail , Stéphan Clémençon , Nicolas Vayatis
On Bootstrapping the ROC Curve, 2009, Advances in Neural Information Processing Systems 21
Book sections hal-02107183v1

A LSTM Approach to Detection of Autonomous Vehicle Hijacking

Naman Singh Negi , Naman Negi , Ons Jelassi , Stéphan Clémençon , Sebastian Fischmeister
5th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2019), May 2019, Heraklion, Greece. pp.475-482, ⟨10.5220/0007726004750482⟩
Conference papers hal-02461824v1

A wavelet-based filtering approach to functional bipartite ranking

Stéphan Clémençon , Marine Depecker
2011 IEEE Statistical Signal Processing Workshop (SSP), Jun 2011, Nice, France. pp.777-780, ⟨10.1109/SSP.2011.5967819⟩
Conference papers hal-02107325v1
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A Minimax Optimal Algorithm for Crowdsourcing

Thomas Bonald , Richard Combes
Neural Information Processing Systems Conference NIPS, 2017, Los Angeles, United States
Conference papers hal-01592105v1

Ranking Median Regression: Learning to Order through Local Consensus

Stéphan Clémençon , Anna Korba , Eric Sibony
NIPS Workshop DISCML 2017, Dec 2017, Longbeach, United States
Conference papers hal-02287629v1

Proxy Clouds for RGB-D Stream Processing: A preview

Adrien Kaiser , Jose Alonso Ybanez Zepeda , Tamy Boubekeur
EUROGRAPHICS Poster Program, May 2017, Lyon, France
Conference papers hal-02287665v1

Forgetting of the initial distribution for nonergodic Hidden Markov Chains

Randal Douc , Elisabeth Gassiat-Granier , Benoit Landelle , Éric Moulines
Annals of Applied Probability, 2010, 20 (5), pp.1638 - 1662
Journal articles hal-01354770v1