| 2026 | AAAI | Best Arm Identification with Biased Contexts. | James Cheshire, Stphan Clmenon |
| 2025 | AISTATS | Active Bipartite Ranking with Smooth Posterior Distributions. | James Cheshire, Stphan Clmenon |
| 2025 | CVPR | Polar Coordinate-Based 2D Pose Prior with Neural Distance Field. | Qi Gan, Sao Mai Nguyen, Eric Fenaux, Stphan Clmenon, Mounim A. El-Yacoubi |
| 2025 | DSAA | Numerically Efficient Parametric Inference for Learning Space-Time Hawkes Processes. | Emilia Siviero, Guillaume Staerman, Stphan Clmenon, Thomas Moreau |
| 2024 | AISTATS | On Ranking-based Tests of Independence. | Myrto Limnios, Stphan Clmenon |
| 2024 | EMNLP | Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks. | Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stphan Clmenon, Pierre Colombo |
| 2024 | HSI | Human Pose Estimation Based Biomechanical Feature Extraction for Long Jumps. | Qi Gan, Sao Mai Nguyen, Mounm A. El-Yacoubi, Eric Fenaux, Stphan Clmenon |
| 2024 | ICLR | Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition. | Jean-Rmy Conti, Stphan Clmenon |
| 2024 | ICPR | Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization. | Jean-Rmy Conti, Stphan Clmenon |
| 2023 | ICML | Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues. | Morgane Goibert, Clment Calauznes, Ekhine Irurozki, Stphan Clmenon |
| 2022 | AISTATS | Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications. | Morgane Goibert, Stphan Clmenon, Ekhine Irurozki, Pavlo Mozharovskyi |
| 2022 | ICML | Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model. | Jean-Rmy Conti, Nathan Noiry, Stphan Clmenon, Vincent Despiegel, Stphane Gentric |
| 2021 | AISTATS | Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications. | Guillaume Ausset, Stphan Clmenon, Franois Portier |
| 2021 | AISTATS | Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints. | Robin Vogel, Aurlien Bellet, Stphan Clmenon |
| 2021 | DSAA | Individual Survival Curves with Conditional Normalizing Flows. | Guillaume Ausset, Tom Ciffreo, Franois Portier, Stphan Clmenon, Timothe Papin |
| 2021 | DSAA | Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis. | Safa Boudabous, Stphan Clmenon, Houda Labiod, Julian Garbiso |
| 2021 | DSAA | Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis. | Safa Boudabous, Stphan Clmenon, Houda Labiod, Julian Garbiso |
| 2021 | ESANN | Anomalous Cluster Detection in Large Networks with Diffusion-Percolation Testing. | Corentin Larroche, Johan Mazel, Stphan Clmenon |
| 2021 | ICML | Learning from Biased Data: A Semi-Parametric Approach. | Patrice Bertail, Stphan Clmenon, Yannick Guyonvarch, Nathan Noiry |
| 2021 | ICML | Generalization Bounds in the Presence of Outliers: a Median-of-Means Study. | Pierre Laforgue, Guillaume Staerman, Stphan Clmenon |
| 2020 | AISTATS | The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure. | Guillaume Staerman, Pavlo Mozharovskyi, Stphan Clmenon |
| 2020 | AISTATS | A Multiclass Classification Approach to Label Ranking. | Robin Vogel, Stphan Clmenon |
| 2020 | ECAI | Identifying the "right" level of explanation in a given situation. | Valrie Beaudouin, Isabelle Bloch, David Bounie, Stphan Clmenon, Florence d'Alch-Buc, James Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh |
| 2020 | ESANN | Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling. | Robin Vogel, Mastane Achab, Stphan Clmenon, Charles Tillier |
| 2020 | IDA | Percolation-Based Detection of Anomalous Subgraphs in Complex Networks. | Corentin Larroche, Johan Mazel, Stphan Clmenon |
| 2019 | ACML | Functional Isolation Forest. | Guillaume Staerman, Pavlo Mozharovskyi, Stphan Clmenon, Florence d'Alch-Buc |
| 2019 | AISTATS | Autoencoding any Data through Kernel Autoencoders. | Pierre Laforgue, Stphan Clmenon, Florence d'Alch-Buc |
| 2019 | ALT | Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach. | Mastane Achab, Anna Korba, Stphan Clmenon |
| 2019 | ICML | On Medians of (Randomized) Pairwise Means. | Stphan Clmenon, Pierre Laforgue, Patrice Bertail |
| 2019 | VTC | Traffic Analysis Based on Bluetooth Passive Scanning. | Safa Boudabous, Julian Garbiso, Bertrand Leroy, Stphan Clmenon, Houda Labiod |
| 2019 | VEHITS | A LSTM Approach to Detection of Autonomous Vehicle Hijacking. | Naman Singh Negi, Ons Jelassi, Stphan Clmenon, Sebastian Fischmeister |
| 2018 | ACML | Profitable Bandits. | Mastane Achab, Stphan Clmenon, Aurlien Garivier |
| 2018 | AISTATS | Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods. | Stphan Clmenon, Franois Portier |
| 2018 | ALT | Ranking Median Regression: Learning to Order through Local Consensus. | Stphan Clmenon, Anna Korba, Eric Sibony |
| 2018 | ESANN | On aggregation in ranking median regression. | Stphan Clmenon, Anna Korba |
| 2018 | ICML | A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization. | Robin Vogel, Aurlien Bellet, Stphan Clmenon |
| 2018 | ISAIM | Generalization Bounds for Minimum Volume Set Estimation based on Markovian Data. | Patrice Bertail, Gabriela Ciolek, Stphan Clmenon |
| 2017 | AISTATS | A Learning Theory of Ranking Aggregation. | Anna Korba, Stphan Clmenon, Eric Sibony |
| 2017 | AISTATS | Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere. | Albert Thomas, Stphan Clmenon, Alexandre Gramfort, Anne Sabourin |
| 2016 | ACML | Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers. | Stphan Clmenon, Patrice Bertail, Guillaume Papa |
| 2016 | AISTATS | Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking. | Nicolas Goix, Anne Sabourin, Stphan Clmenon |
| 2016 | ICML | Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions. | Igor Colin, Aurlien Bellet, Joseph Salmon, Stphan Clmenon |
| 2015 | AAAI | Collaborative Filtering with Localised Ranking. | Charanpal Dhanjal, Romaric Gaudel, Stphan Clmenon |
| 2015 | AISTATS | On Anomaly Ranking and Excess-Mass Curves. | Nicolas Goix, Anne Sabourin, Stphan Clmenon |
| 2015 | ALT | Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent. | Guillaume Papa, Pascal Bianchi, Stphan Clmenon |
| 2015 | COLT | Learning the dependence structure of rare events: a non-asymptotic study. | Nicolas Goix, Anne Sabourin, Stphan Clmenon |
| 2015 | ESANN | An Ensemble Learning Technique for Multipartite Ranking. | Stphan Clmenon, Sylvain Robbiano |
| 2015 | ICML | MRA-based Statistical Learning from Incomplete Rankings. | Eric Sibony, Stphan Clmenon, Jrmie Jakubowicz |
| 2014 | ICML | Anomaly Ranking as Supervised Bipartite Ranking. | Stphan Clmenon, Sylvain Robbiano |
| 2014 | SAC | Learning reputation in an authorship network. | Charanpal Dhanjal, Stphan Clmenon |
| 2014 | SDM | Online Matrix Completion Through Nuclear Norm Regularisation. | Charanpal Dhanjal, Romaric Gaudel, Stphan Clmenon |
| 2013 | AISTATS | Scoring anomalies: a M-estimation formulation. | Stphan Clmenon, Jrmie Jakubowicz |
| 2013 | SDM | Maximal Deviations of Incomplete U-statistics with Applications to Empirical Risk Sampling. | Stphan Clmenon, Sylvain Robbiano, Jessica Tressou |
| 2011 | ESANN | Hierarchical clustering for graph visualization. | Stphan Clmenon, Hctor de Arazoza, Fabrice Rossi, Viet-Chi Tran |
| 2011 | ICML | Minimax Learning Rates for Bipartite Ranking and Plug-in Rules. | Sylvain Robbiano, Stphan Clmenon |
| 2011 | ICMLA | A Data-Mining Approach to Travel Price Forecasting. | Till Wohlfarth, Stphan Clmenon, Franois Roueff, Xavier Casellato |
| 2011 | IWANN | Visual Mining of Epidemic Networks. | Stphan Clmenon, Hctor de Arazoza, Fabrice Rossi, Viet-Chi Tran |
| 2011 | SDM | Maximising the Quality of Influence. | Charanpal Dhanjal, Stphan Clmenon |
| 2009 | ALT | Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm. | Stphan Clmenon, Nicolas Vayatis |
| 2009 | ICML | Nonparametric estimation of the precision-recall curve. | Stphan Clmenon, Nicolas Vayatis |
| 2009 | ICMLA | Bagging Ranking Trees. | Stphan Clmenon, Marine Depecker, Nicolas Vayatis |
| 2008 | ALT | Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm. | Stphan Clmenon, Nicolas Vayatis |
| 2005 | COLT | Ranking and Scoring Using Empirical Risk Minimization. | Stphan Clmenon, Gbor Lugosi, Nicolas Vayatis |