research
∙
03/02/2023
Penalising the biases in norm regularisation enforces sparsity
Controlling the parameters' norm often yields good generalisation when t...
share
research
∙
03/02/2023
Model agnostic methods meta-learn despite misspecifications
Due to its empirical success on few shot classification and reinforcemen...
research
∙
11/29/2022
A survey on multi-player bandits
Due mostly to its application to cognitive radio networks, multiplayer b...
research
∙
06/02/2022
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
The training of neural networks by gradient descent methods is a corners...
research
∙
02/14/2022
Trace norm regularization for multi-task learning with scarce data
Multi-task learning leverages structural similarities between multiple t...
research
∙
06/08/2021
Decentralized Learning in Online Queuing Systems
Motivated by packet routing in computer networks, online queuing systems...
research
∙
02/16/2021
Making the most of your day: online learning for optimal allocation of time
We study online learning for optimal allocation when the resource to be ...
research
∙
07/20/2020
Speed of Social Learning from Reviews in Non-Stationary Environments
Potential buyers of a product or service tend to first browse feedback f...
research
∙
06/11/2020
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits
We investigate stochastic combinatorial multi-armed bandit with semi-ban...
research
∙
02/04/2020
Selfish Robustness and Equilibria in Multi-Player Bandits
Motivated by cognitive radios, stochastic multi-player multi-armed bandi...
research
∙
05/27/2019
Private Learning and Regularized Optimal Transport
Private data are valuable either by remaining private (for instance if t...
research
∙
09/21/2018
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits
We consider the stochastic multiplayer multi-armed bandit problem, where...
research
∙
08/14/2018