Lucas Maystre


Page last edited on 2017-06-05

I strive to make my papers and the corresponding code easily accessible. If you cannot find something, please drop me a line. Note that I also maintain a Google scholar page.

ICML 2017 Lucas Maystre, Matthias Grossglauser
Just Sort It! A Simple and Effective Approach to Active Preference Learning
ICML 2017 Lucas Maystre, Matthias Grossglauser
ChoiceRank: Identifying Preferences from Node Traffic in Networks
ACML 2016 Young-Jun Ko, Lucas Maystre, Matthias Grossglauser
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems
NIPS 2015 Lucas Maystre, Matthias Grossglauser
Fast and Accurate Inference of Plackett–Luce Models

Working papers and technical reports.

2016 Lucas Maystre, Victor Kristof, Antonio J. González Ferrer, Matthias Grossglauser
The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions
2013 Mohamed Kafsi, Ehsan Kazemi, Lucas Maystre, Lyudmila Yartseva, Matthias Grossglauser, Patrick Thiran
Mitigating Epidemics through Mobile Micro-measures
2012 Lucas Maystre
Music Recommendation to Groups