Stéphan Clémençon

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure.

[BibT_eX]

[DOI]

Guillaume Staerman

Pavlo Mozharovskyi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Statistical Learning from Biased Training Samples.

[BibT_eX]

[DOI]

Pierre Laforgue

CoRR, 2019

Empirical Risk Minimization under Random Censorship: Theory and Practice.

[BibT_eX]

[DOI]

Guillaume Ausset

François Portier

CoRR, 2019

Traffic Analysis Based on Bluetooth Passive Scanning.

[BibT_eX]

[DOI]

Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

A LSTM Approach to Detection of Autonomous Vehicle Hijacking.

[BibT_eX]

[DOI]

Naman Singh Negi

Ons Jelassi

Sebastian Fischmeister

Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019

Trade-Offs in Large-Scale Distributed Tuplewise Estimation And Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

On Tree-Based Methods for Similarity Learning.

[BibT_eX]

[DOI]

Robin Vogel

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

On Medians of (Randomized) Pairwise Means.

[BibT_eX]

[DOI]

Pierre Laforgue

Proceedings of the 36th International Conference on Machine Learning, 2019

Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach.

[BibT_eX]

[DOI]

Mastane Achab

Proceedings of the Algorithmic Learning Theory, 2019

Autoencoding any Data through Kernel Autoencoders.

[BibT_eX]

[DOI]

Pierre Laforgue

Florence d'Alché-Buc

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Functional Isolation Forest.

[BibT_eX]

[DOI]

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

On Binary Classification in Extreme Regions.

[BibT_eX]

[DOI]

Hamid Jalalzai

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Generalization Bounds for Minimum Volume Set Estimation based on Markovian Data.

[BibT_eX]

[DOI]

Gabriela Ciolek

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization.

[BibT_eX]

[DOI]

Robin Vogel

Proceedings of the 35th International Conference on Machine Learning, 2018

On aggregation in ranking median regression.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Ranking Median Regression: Learning to Order through Local Consensus.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 2018

Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods.

[BibT_eX]

[DOI]

François Portier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Profitable Bandits.

[BibT_eX]

[DOI]

Mastane Achab

Aurélien Garivier

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

EMOTHAW: A Novel Database for Emotional State Recognition From Handwriting and Drawing.

[BibT_eX]

[DOI]

Laurence Likforman-Sulem

IEEE Trans. Hum. Mach. Syst., 2017

Sparse representation of multivariate extremes with applications to anomaly detection.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2017

Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Ranking Data with Continuous Labels through Oriented Recursive Partitions.

[BibT_eX]

[DOI]

Mastane Achab

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A Learning Theory of Ranking Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

An empirical comparison of V-fold penalisation and cross-validation for model selection in distribution-free regression.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2016

Scaling-up Empirical Risk Minimization: Optimization of Incomplete $U$-statistics.

[BibT_eX]

[DOI]

Igor Colin

J. Mach. Learn. Res., 2016

On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers.

[BibT_eX]

[DOI]

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

Extracting Style and Emotion from Handwriting.

[BibT_eX]

[DOI]

Laurence Likforman-Sulem

Anna Esposito

Marcos Faúndez-Zanuy

Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015

A statistical network analysis of the HIV/AIDS epidemics in Cuba.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2015

AUC Optimisation and Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2015

SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Extending Gossip Algorithms to Distributed Estimation of U-statistics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scalability of Stochastic Gradient Descent based on "Smart" Sampling Techniques.

[BibT_eX]

[DOI]

Proceedings of the INNS Conference on Big Data 2015, 2015

MRA-based Statistical Learning from Incomplete Rankings.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

An Ensemble Learning Technique for Multipartite Ranking.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Learning the dependence structure of rare events: a non-asymptotic study.

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Pascal Bianchi

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

On Anomaly Ranking and Excess-Mass Curves.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Collaborative Filtering with Localised Ranking.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Building confidence regions for the ROC surface.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2014

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

[BibT_eX]

[DOI]

J. Multivar. Anal., 2014

Efficient eigen-updating for spectral graph clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Online Matrix Completion Through Nuclear Norm Regularisation.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Learning reputation in an authorship network.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2014

Anomaly Ranking as Supervised Bipartite Ranking.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Multiresolution analysis of incomplete rankings with applications to prediction.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Scaling up M-estimation via sampling designs: The Horvitz-Thompson stochastic gradient descent.

[BibT_eX]

[DOI]

Emilie Chautru

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

An empirical comparison of learning algorithms for nonparametric scoring: the TreeRank algorithm and other methods.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2013

Ranking data with ordinal labels: optimality and pairwise aggregation.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Ranking forests.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

Maximal Deviations of Incomplete U-statistics with Applications to Empirical Risk Sampling.

[BibT_eX]

[DOI]

Jessica Tressou

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

On-line learning gossip algorithm in multi-agent systems with local decision rules.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Scoring anomalies: a M-estimation formulation.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Dissemination of Health Information within Social Networks

[BibT_eX]

[DOI]

Sandrine Blanchemanche

Ákos Róna-Tas

Fabrice Rossi

CoRR, 2012

2011

Avancées récentes dans le domaine de l'apprentissage d'ordonnancements.

[BibT_eX]

[DOI]

Rev. d'Intelligence Artif., 2011

Adaptive partitioning schemes for bipartite ranking - How to grow and prune a ranking tree.

[BibT_eX]

[DOI]

Mach. Learn., 2011

The Evolution of the Cuban HIV/AIDS Network

[BibT_eX]

[DOI]

CoRR, 2011

Maximising the Quality of Influence.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Clustering Rankings in the Fourier Domain.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

On U-processes and clustering performance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Visual Mining of Epidemic Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2011

A Data-Mining Approach to Travel Price Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Minimax Learning Rates for Bipartite Ranking and Plug-in Rules.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Hierarchical clustering for graph visualization.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Kantorovich Distances between Rankings with Applications to Rank Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Tree-based ranking methods.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2009

On Partitioning Rules for Bipartite Ranking.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

AUC optimization and the two-sample problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Bagging Ranking Trees.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2009

Nonparametric estimation of the precision-recall curve.

[BibT_eX]

[DOI]