Publications by Gael Lederrey | EPFL Graph Search

Bridging the gap between model-driven and data-driven methods in the era of Big Data

Data-driven and model-driven methodologies can be regarded as competitive fields since they tackle similar problems such as prediction. However, these two fields can learn from each other to improve themselves. Indeed, data-driven methodologies have been d ...

EPFL2022

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Michel Bierlaire, Gael Lederrey, Virginie Janine Camille Lurkin, Timothy Michael Hillel

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 data are well established, these have not yet been fully explored for the esti ...

2021

Stochastic Optimization with Adaptive Batch Size: Discrete Choice Models as a Case Study

Michel Bierlaire, Gael Lederrey, Virginie Janine Camille Lurkin, Timothy Michael Hillel

The 2.5 quintillion bytes of data created each day brings new opportunities, but also new stimulating challenges for the discrete choice community. Opportunities because more and more new and larger data sets will undoubtedly become available in the future ...

2019

When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments

Gael Lederrey, Robert West

As online shopping becomes ever more prevalent, customers rely increasingly on product rating websites for making purchase decisions. The reliability of online ratings, however, is potentially compromised by the so-called herding effect: when rating a prod ...

2018

A dynamic network loading model for anisotropic and congested pedestrian flows

Michel Bierlaire, Gael Lederrey, Flurin Silvan Hänseler, Marija Nikolic

A macroscopic loading model for multi-directional, time-varying and congested pedestrian flows is proposed. Walkable space is represented by a network of streams that are each associated with an area in which they interact. To describe this interaction, a ...

Pergamon-Elsevier Science Ltd2017

An Overtaking Decision Algorithm for Networked Intelligent Vehicles Based on Cooperative Perception

Alcherio Martinoli, Inaki Navarro Oiza, Milos Vasic, Gael Lederrey

This paper presents an overtaking decision algorithm for networked intelligent vehicles. The algorithm is based on a cooperative tracking and sensor fusion algorithm that we previously developed. The ego vehicle is equipped with lane keeping and lane chang ...

Ieee2016