5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 5 cited
X-SHAP: towards multiplicative explainability of Machine Learning
Luisa Bouneder, Yannick Léo, Aimé Lachapelle
This paper introduces X-SHAP, a model-agnostic method that assesses multiplicative contributions of variables for both local and global predictions. This method theoretically and o…
math.PR2012★ 2 cited
Control of McKean-Vlasov Dynamics versus Mean Field Games
Rene Carmona, Francois Delarue, Aime Lachapelle
We discuss and compare two methods of investigations for the asymptotic regime of stochastic differential games with a finite number of players as the number of players tends to th…
math.OC2010
On the strategic use of risk and undesirable goods in multidimensional screening
Aimé Lachapelle, Filippo Santambrogio
A monopolist sells goods with possibly a characteristic consumers dislike (for instance, he sells random goods to risk averse agents), which does not affect the production costs. W…