Publications
Conference Papers
• Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits, 
Marc Abeille, Louis Faury, Clément Calauzènes. 
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021. 
( arXiv ||  slides ||   poster)
• Self-Concordant Analysis of Generalized Linear Bandits with Forgetting 
 Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier. 
 International Conference on Artificial Intelligence and Statistics (AISTATS), 2021. 
( arXiv ||   poster)
• Optimal Regret Bounds for Generalized Linear Bandits under Parameter Drift.
Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes.
 International Conference on Algorithmic Learning Theory (ALT), 2021. 
 ( pdf)
• Improved Optimistic Algorithms for Logistic Bandits.
Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq.
 International Conference of Machine Learning (ICML), 2020. 
( arXiv ||  pdf ||  slides)
• Distributionally Robust Counterfactual Risk Minimization.
 Louis Faury, Ugo Tanielian, Elena Smirnova, Flavian Vasile, Elvis Dohmatob.
  AAAI Conference on Artificial Intelligence (AAAI), 2020.
( arXiv ||  pdf ||  slides ||   poster)
• Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces.
 Louis Faury, Flavian Vasile.
  12th International Conference on Learning and Intelligent Optimization Conference, 2018.
( arXiv ||  link)
Workshop Papers
• Improving Offline Contextual Bandits with Distributional Robustness,
Otmane Sahki, Louis Faury, Flavian Vasile.
REVEAL Workshop, RecSys’20.
( pdf)
• Benchmarking GNN-CMA-ES on the BBOB noiseless testbed.
 Louis Faury, Clément Calauzènes, Olivier Fercoq.
 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019.
( link ||  slides)
Preprints
• Improving Evolutionary Strategies with Generative Neural Networks, Louis Faury, Clément Calauzènes, Olivier Fercoq. 
( arXiv)
• Neural Generative Models for Global Optimization with Gradients, Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq. 
( arXiv)
PhD Thesis
• Variance Sensitive Confidence Intervals for Parametric and Offline Bandits, Louis Faury. 
( manuscrit ||  slides)
Technical Reports
• Learning from suboptimal demonstrations: the role of compliance in the exploration-exploitation trade-off, Louis Faury, Mahdi Khoramshahi, Andrew Sutcliffe, Aude Billard.
