← Authors

Stéphan Clémençon

40 papers · 2007–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (8) 🏃 Academic Marathon (18) 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🔬 Deep Specialist (15) 🏆 Grand Slam 🏆 Keyword Champion (6) 🗃️ Keyword Collector (165) ⚡ Prolific Year (5) 💎 Century Club (39) 🔥 Unstoppable (7) 📈 Trend Setter ❓ The Questioner

Conferences

AISTATS (12) ICML (9) NIPS (7) JMLR (4) ACML (3) ALT (2) AAAI (1) EMNLP (1) ICLR (1)

Top co-authors

Aurélien Bellet (7) Anne Sabourin (4) Nathan Noiry (4) Ekhine Irurozki (4) Guillaume Papa (3) François Portier (3) Patrice Bertail (3) Mastane Achab (3) Eric Sibony (3) James Cheshire (3)

Research topics

Statistics (1)

Keywords

empirical risk minimization (7) anomaly detection (6) bipartite ranking (6) roc curve (5) scoring function (4) robust statistics (3) multivariate analysis (3) ranking aggregation (3) metric learning (3) consensus ranking (3) learning rate (3) extreme value theory (3) preference learning (3) binary classification (2) risk estimation (2) stochastic optimization (2) unsupervised learning (2) dimension reduction (2) density estimation (2) active learning (2)

Papers

Best Arm Identification with Biased Contexts AAAI 2026
Active Bipartite Ranking with Smooth Posterior Distributions AISTATS 2025
On Ranking-based Tests of Independence AISTATS 2024
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks EMNLP 2024
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition ICLR 2024
Active Bipartite Ranking NIPS 2023
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues ICML 2023
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model ICML 2022
Empirical Risk Minimization under Random Censorship JMLR 2022
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications AISTATS 2022
What are the best Systems? New Perspectives on NLP Benchmarking NIPS 2022
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints AISTATS 2021
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study ICML 2021
Learning from Biased Data: A Semi-Parametric Approach ICML 2021
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications AISTATS 2021
Functional Isolation Forest ACML 2019
Autoencoding any Data through Kernel Autoencoders AISTATS 2019
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach ALT 2019
On Medians of (Randomized) Pairwise Means ICML 2019
On Binary Classification in Extreme Regions NIPS 2018
Profitable Bandits ACML 2018
Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods AISTATS 2018
Ranking Median Regression: Learning to Order through Local Consensus ALT 2018
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization ICML 2018
Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere AISTATS 2017
Ranking Data with Continuous Labels through Oriented Recursive Partitions NIPS 2017
A Learning Theory of Ranking Aggregation AISTATS 2017
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability NIPS 2016
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions ICML 2016
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers ACML 2016
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking AISTATS 2016
Scaling-up Empirical Risk Minimization: Optimization of Incomplete $U$-statistics JMLR 2016
Extending Gossip Algorithms to Distributed Estimation of U-statistics NIPS 2015
On Anomaly Ranking and Excess-Mass Curves AISTATS 2015
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk NIPS 2015
MRA-based Statistical Learning from Incomplete Rankings ICML 2015
Anomaly Ranking as Supervised Bipartite Ranking ICML 2014
Ranking Forests JMLR 2013
Scoring anomalies: a M-estimation formulation AISTATS 2013
Ranking the Best Instances JMLR 2007