Articles by Stephan Clémençon | Synthical

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31

Tail Index Estimation for Discrete Heavy-Tailed Distributions

2 November 2024 by Patrice Bertail and others

Statistics Theory

Anomaly Detection based on Markov Data: A Statistical Depth Approach

14 October 2024 by Carlos Fernández and Stephan Clémençon

Statistics Theory

Flexible Parametric Inference for Space-Time Hawkes Processes

17 June 2024 by Emilia Siviero and others

Machine Learning

On Regression in Extreme Regions

10 April 2024 by Nathan Huet and others

Machine Learning, Statistics Theory

A Statistical Learning View of Simple Kriging

2 February 2024 by Emilia Siviero and others

Machine Learning

Regular Variation in Hilbert Spaces and Principal Component Analysis for Functional Extremes

2 August 2023 by Stephan Clémençon and others

Statistics Theory, Functional Analysis

Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks

17 May 2023 by Abdelkader Himmi and others

Computation and Language, Artificial Intelligence

A Bipartite Ranking Approach to the Two-Sample Problem

8 February 2023 by Stephan Clémençon and others

Statistics Theory

On Medians of (Randomized) Pairwise Means

1 November 2022 by Pierre Laforgue and others

Machine Learning

Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases

1 November 2022 by Stephan Clémençon and others

Computer Vision and Pattern Recognition, Computers and Society

Dynamically Modelling Heterogeneous Higher-Order Interactions for Malicious Behavior Detection in Event Logs

28 June 2022 by Corentin Larroche and others

Cryptography and Security

What are the best systems? New perspectives on NLP Benchmarking

10 February 2022 by Pierre Colombo and others

Computation and Language, Artificial Intelligence

Improving the quality control of seismic data through active learning

20 January 2022 by Mathieu Chambefort and others

Machine Learning

Functional Anomaly Detection: a Benchmark Study

13 January 2022 by Guillaume Staerman and others

Machine Learning

Individual Survival Curves with Conditional Normalizing Flows

27 July 2021 by Guillaume Ausset and others

Machine Learning

Generalization Bounds in the Presence of Outliers: a Median-of-Means Study

7 February 2021 by Pierre Laforgue and others

Machine Learning

Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications

26 June 2020 by Guillaume Ausset and others

Machine Learning

Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking

9 June 2020 by Robin Vogel and others

Machine Learning

A Multiclass Classification Approach to Label Ranking

21 February 2020 by Stephan Clémençon and Robin Vogel

Machine Learning

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

13 February 2020 by Guillaume Staerman and others

Machine Learning, Statistics Theory

Statistical Learning from Biased Training Samples

23 September 2019 by Pierre Laforgue and Stephan Clémençon

Machine Learning

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

30 August 2019 by Mastane Achab and others

Machine Learning

Functional Isolation Forest

18 July 2019 by Guillaume Staerman and others

Machine Learning

Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning

21 June 2019 by Robin Vogel and others

Machine Learning

Autoencoding any Data through Kernel Autoencoders

11 October 2018 by Pierre Laforgue and others

Machine Learning

Mass Volume Curves and Anomaly Ranking

3 September 2018 by Stephan Clémençon and Albert Thomas at

Machine Learning

Profitable Bandits

8 May 2018 by Mastane Achab and others

Machine Learning

Ranking Data with Continuous Labels through Oriented Recursive Partitions

17 January 2018 by Stephan Clémençon and Mastane Achab

Machine Learning

Ranking Median Regression: Learning to Order through Local Consensus

18 December 2017 by Stephan Clémençon and others

Statistics Theory, Machine Learning

Max K-armed bandit: On the ExtremeHunter algorithm and beyond

27 July 2017 by Mastane Achab and others

Machine Learning

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Machine Learning Statistics Theory Computation and Language Artificial Intelligence Functional Analysis Computer Vision and Pattern Recognition Computers and Society Cryptography and Security Methodology Social and Information Networks Physics and Society