Lucas Maystre


Page last edited on 2018-06-18

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.

KDD 2019 Lucas Maystre, Victor Kristof, Matthias Grossglauser
Pairwise Comparisons with Flexible Time-Dynamics
KDD 2018 Ali Batuhan Yardım, Victor Kristof, Lucas Maystre, Matthias Grossglauser
Can Who-Edits-What Predict Edit Survival?
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

Theses, working papers and technical reports.

2019 Victor Kristof, Valentin Quelquejay-Leclère, Robin Zbinden, Lucas Maystre, Matthias Grossglauser, Patrick Thiran
A User Study of Perceived Carbon Footprint
2019 Daniyar Chumbalov, Lucas Maystre, Matthias Grossglauser
Scalable and Efficient Comparison-based Search without Features
2018 Lucas Maystre
Efficient Learning from Comparisons
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