161 citations · 200 across the 16 of their papers we have counts for
19 papers
Refined bounds for randomized experimental design
Geovani Rizk, Igor Colin, Albert Thomas +1
Experimental design is an approach for selecting samples among a given set so as to obtain the best estimator for a given criterion. In the context of linear regression, several op…
Parallel Contextual Bandits in Wireless Handover Optimization
Igor Colin, Albert Thomas, Moez Draief
As cellular networks become denser, a scalable and dynamic tuning of wireless base station parameters can only be achieved through automated optimization. Although the contextual b…
KONG: Kernels for ordered-neighborhood graphs
Moez Draief, Konstantin Kutzkov, Kevin Scaman +1
We present novel graph kernels for graphs with node and edge labels that have ordered neighborhoods, i.e. when neighbor nodes follow an order. Graphs with ordered neighborhoods are…
Reinforcement Learning with Wasserstein Distance Regularisation, with Applications to Multipolicy Learning
Mohammed Amin Abdullah, Aldo Pacchiano, Moez Draief
We describe an application of Wasserstein distance to Reinforcement Learning. The Wasserstein distance in question is between the distribution of mappings of trajectories of a poli…
Robust On-line Matrix Completion on Graphs
Symeon Chouvardas, Mohammed Amin Abdullah, Lucas Claude +1
We study online robust matrix completion on graphs. At each iteration a vector with some entries missing is revealed and our goal is to reconstruct it by identifying the underlying…
A Diffusion Kernel LMS algorithm for nonlinear adaptive networks
Symeon Chouvardas, Moez Draief
This work presents a distributed algorithm for nonlinear adaptive learning. In particular, a set of nodes obtain measurements, sequentially one per time step, which are related via…