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Articles by
Stéphan Clémençon
On Ranking-based Tests of Independence
12 March 2024 by
Myrto Limnios
and
Stéphan Clémençon
at
LTCI
Statistics Theory
,
Methodology
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model
22 February 2024 by
Jean-Rémy Conti
and
others
Computer Vision and Pattern Recognition
,
Artificial Intelligence
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
20 February 2024 by
Jean-Rémy Conti
and
Stéphan Clémençon
Computer Vision and Pattern Recognition
,
Artificial Intelligence
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
17 May 2023 by
Abdelkader Himmi
and
others
Computation and Language
,
Artificial Intelligence
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues
22 March 2023 by
Morgane Goibert
and
others
Machine Learning
Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking
1 June 2022 by
Stéphan Clémençon
and
others
Statistics Theory
,
Machine Learning
What are the best systems? New perspectives on NLP Benchmarking
10 February 2022 by
Pierre Colombo
and
others
Computation and Language
,
Artificial Intelligence
Concentration bounds for the empirical angular measure with statistical learning applications
26 January 2022 by
Stéphan Clémençon
and
others
Statistics Theory
,
Machine Learning
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications
20 January 2022 by
Morgane Goibert
and
others
Machine Learning
Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis
28 October 2021 by
Guillaume Staerman
and
others
Machine Learning
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics
20 September 2021 by
Myrto Limnios
and
others
Statistics Theory
,
Machine Learning
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions
7 July 2021 by
Guillaume Staerman
and
others
Machine Learning
Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach
13 March 2020 by
Valérie Beaudouin
and
others
at
LPMA
Computers and Society
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling
19 February 2020 by
Robin Vogel
and
others
Machine Learning
A Multivariate Extreme Value Theory Approach to Anomaly Clustering and Visualization
17 July 2019 by
Maël Chiapino
and
others
at
LTCI
Methodology
,
Applications
On Tree-based Methods for Similarity Learning
21 June 2019 by
Stéphan Clémençon
and
Robin Vogel
Machine Learning
Empirical Risk Minimization under Random Censorship: Theory and Practice
5 June 2019 by
Guillaume Ausset
and
others
Machine Learning
,
Statistics Theory
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization
18 July 2018 by
Robin Vogel
and
others
Machine Learning
,
Artificial Intelligence
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
8 June 2016 by
Igor Colin
and
others
Machine Learning
,
Artificial Intelligence
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking
31 March 2016 by
Nicolas Goix
and
others
at
LTCI
Machine Learning
Sparsity in Multivariate Extremes with Applications to Anomaly Detection
14 March 2016 by
Nicolas Goix
and
others
at
LTCI
Machine Learning
A Multiresolution Analysis Framework for the Statistical Analysis of Incomplete Rankings
4 January 2016 by
Eric Sibony
and
others
at
LTCI
Statistics Theory
Extending Gossip Algorithms to Distributed Estimation of U-Statistics
17 November 2015 by
Igor Colin
and
others
Machine Learning
,
Distributed, Parallel, and Cluster Computing
AUC Optimisation and Collaborative Filtering
25 August 2015 by
Charanpal Dhanjal
and
others
at
LTCI
Machine Learning
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics
14 July 2015 by
Stéphan Clémençon
and
others
Machine Learning
,
Artificial Intelligence
Learning the dependence structure of rare events: a non-asymptotic study
23 May 2015 by
Nicolas Goix
and
others
at
LTCI
Statistics Theory
On Anomaly Ranking and Excess-Mass Curves
5 February 2015 by
Nicolas Goix
and
others
at
LTCI
Machine Learning
,
Probability
Survey schemes for stochastic gradient descent with applications to M-estimation
9 January 2015 by
Stéphan Clémençon
and
others
Machine Learning
On Tail Index Estimation based on Multivariate Data
9 April 2014 by
Stéphan Clémençon
and
Antoine Dematteo
at
LTCI
Statistics Theory
A statistical network analysis of the HIV/AIDS epidemics in Cuba
17 March 2014 by
Stéphan Clémençon
and
others
at
LTCI
Applications
,
Social and Information Networks
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