Robin Vogel

activity

20182021

most citedWeighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling

3 citations · 5 across the 2 of their papers we have counts for

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Showing 2020Show all

3 papers · 1 filter

stat.ML2020★ 2 cited

A Multiclass Classification Approach to Label Ranking

Stephan Clémençon, Robin Vogel

In multiclass classification, the goal is to learn how to predict a random label $Y$ , valued in $Y = {1, \dots, K}$ with $K \geq 3$ , based upon observing a r.v. $X$ ,…

stat.ML2020★ 3 cited

Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling

Robin Vogel, Mastane Achab, Stéphan Clémençon +1

We consider statistical learning problems, when the distribution $P^{'}$ of the training observations $Z_{1}^{'}, \dots, Z_{n}^{'}$ differs from the distribution $P$ involved in the risk o…

stat.ML2020

Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints

Robin Vogel, Aurélien Bellet, Stephan Clémençon

Many applications of AI involve scoring individuals using a learned function of their attributes. These predictive risk scores are then used to take decisions based on whether the…