Stéphan Clémençon
Orcid: 0000-0002-5879-9500Affiliations:
- Telecom Paris, Palaiseau, France
According to our database1,
Stéphan Clémençon
authored at least 126 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Weibull mixture estimation based on censored data with applications to clustering in reliability engineering.
Qual. Reliab. Eng. Int., December, 2024
Trans. Mach. Learn. Res., 2024
Machine Learning-Driven Low-Complexity Optical Power Optimization for Point-to-Point Links.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 16th International Conference on Human System Interaction, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Fast and accurate nonlinear interference in-band spectrum prediction for sparse channel allocation.
Proceedings of the International Conference on Optical Network Design and Modeling, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues.
Proceedings of the International Conference on Machine Learning, 2023
2022
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis.
CoRR, 2021
Dynamically Modelling Heterogeneous Higher-Order Interactions for Malicious Behavior Detection in Event Logs.
CoRR, 2021
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics.
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A multivariate extreme value theory approach to anomaly clustering and visualization.
Comput. Stat., 2020
CoRR, 2020
CoRR, 2020
Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking.
CoRR, 2020
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling.
CoRR, 2020
Statistical learning based on Markovian data maximal deviation inequalities and learning rates.
Ann. Math. Artif. Intell., 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020
Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
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.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019
Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Machine Learning, Optimization, and Data Science, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the Algorithmic Learning Theory, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the Algorithmic Learning Theory, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of The 10th Asian Conference on Machine Learning, 2018
2017
EMOTHAW: A Novel Database for Emotional State Recognition From Handwriting and Drawing.
IEEE Trans. Hum. Mach. Syst., 2017
Sparse representation of multivariate extremes with applications to anomaly detection.
J. Multivar. Anal., 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
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.
Pattern Anal. Appl., 2016
J. Mach. Learn. Res., 2016
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers.
Proceedings of The 8th Asian Conference on Machine Learning, 2016
2015
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015
Soc. Netw. Anal. Min., 2015
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the INNS Conference on Big Data 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
J. Multivar. Anal., 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Symposium on Applied Computing, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
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.
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.
Pattern Anal. Appl., 2013
Mach. Learn., 2013
Maximal Deviations of Incomplete U-statistics with Applications to Empirical Risk Sampling.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
2011
Rev. d'Intelligence Artif., 2011
Adaptive partitioning schemes for bipartite ranking - How to grow and prune a ranking tree.
Mach. Learn., 2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
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
Proceedings of the Advances in Computational Intelligence, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
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
Proceedings of the International Conference on Machine Learning and Applications, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the Algorithmic Learning Theory, 20th International Conference, 2009
2008
Comput. Stat. Data Anal., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008
2007
2005
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005