
Scool
@inriascool
Scool is a #MachineLearning research team in @Inria & CRIStAL interested in designing algorithms that learn & adapt on-the-go. It is the new avatar of "SequeL".
ID: 1330876827557105665
https://team.inria.fr/scool/ 23-11-2020 14:12:34
95 Tweet
357 Followers
106 Following

What happens if you've multiple objectives/rewards for each arm? How can you find pareto set with bandits? At 5PM NeurIPS Conference, Cyrille'll present an adaptive & sequential sampling to identify Pareto set (or a relaxed Pareto set) of multivariate distributions. #NeurIPS23 #Bandit


What happens if you've multiple objectives/rewards for each arm? How can you find pareto set with bandits? At 5PM NeurIPS Conference, Cyrille'll present an adaptive & sequential sampling to identify Pareto set (or a relaxed Pareto set) of multivariate distributions #NeurIPS23 #Bandit


Today NeurIPS Conference, visit the #WANT workshop to know mode about tools and algorithms to make deep network training computationally friendly and resource efficient. #NeurIPS2023


It's fun to revisit the sanctum sanctorum: how does a brain learn? Today at Convention on Mathematics of #Neuroscience & #AI, POURCEL Guillaume presents our work with @AdityaGilra on how to design a bio-plausible learning rule rather than backprop type methods to learn a time series.


We've derived tight lower and upper bounds for differentially private finite-armed & linear bandits, while we lack the same for contextual bandits. At #COLT2024, Achraf presents open problems in contextual bandits with privacy. Debabrota Basu Centre Inria de l'Université de Lille Recherche - Université de Lille


Congratulations to Tuan Dam, Odalric, and Emilie on their work to address biased value function estimation in #MCTS using power means. 🥳 #UAI2024 Centre Inria de l'Université de Lille Recherche - Université de Lille