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09/06/2021
Visual Recognition with Deep Learning from Biased Image Datasets
In practice, and more especially when training deep neural networks, vis...
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02/21/2020
A Multiclass Classification Approach to Label Ranking
In multiclass classification, the goal is to learn how to predict a rand...
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02/19/2020
Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking
Many applications of artificial intelligence, ranging from credit lendin...
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02/12/2020
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling
We consider statistical learning problems, when the distribution P' of t...
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06/21/2019
On Tree-based Methods for Similarity Learning
In many situations, the choice of an adequate similarity measure or metr...
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06/21/2019
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
The development of cluster computing frameworks has allowed practitioner...
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07/18/2018