Three papers from MILES researchers have been accepted to the 2021 International Conference on Machine Learning (ICML), one of the most prestigious venues for data science:
- Mixed Nash Equilibria in the Adversarial Examples Game co-authored by Laurent Meunier, Rafael Pinot (former MILES member), Jamal Atif and Yann Chevaleyre;
- Mediated uncoupled learning: Learning functions without direct input-output correspondences, co-authored by Ikko Yamane and Florian Yger;
- Best Arm Identification in Graphical Bilinear Bandits, co-authored by Geovani Rizk, Rida Laraki and Yann Chevaleyre.
In addition, Clément Royer will be a featured speaker at the ICML 2021 workshop Beyond first-order methods in ML systems.
Last but certainly not least, Alexandre Vérine will present the paper On the expressivity of bi-Lipschitz normalizing flows (a full MILES collaborative effort together with Benjamin Negrevergne, Fabrice Rossi and Yann Chevaleyre) at the ICML 2021 workshop Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models.
Feel free to contact MILES researchers to catch them during ICML!