15 citations · 15 across the 3 of their papers we have counts for
4 papers
Fighting Pickpocketing using a Choice-based Resource Allocation Model
Loe Schlicher, Virginie Lurkin
Inspired by European actions to fight organised crimes, we develop a choice-based resource allocation model that can help policy makers to reduce the number of pickpocket attempts.…
Stable allocations for choice-based collaborative price setting
Loe Schlicher, Virginie Lurkin
Horizontal agreements can fall within the scope of exemptions to antitrust competition if they are expected to create pro-consumer benefits. Inspired by such horizontal agreements,…
Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms
Gael Lederrey, Virginie Lurkin, Tim Hillel +1
The emergence of Big Data has enabled new research perspectives in the discrete choice community. While the techniques to estimate Machine Learning models on a massive amount of da…
Enhancing Discrete Choice Models with Representation Learning
Brian Sifringer, Virginie Lurkin, Alexandre Alahi
In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and biased parameter estimates. In this paper, we propose a new approach for estimatin…