Search Results for author: Flore Sentenac

Found 5 papers, 1 papers with code

On Preemption and Learning in Stochastic Scheduling

1 code implementation31 May 2022 Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet

We study single-machine scheduling of jobs, each belonging to a job type that determines its duration distribution.

Efficient Exploration Scheduling

Robust Estimation of Discrete Distributions under Local Differential Privacy

no code implementations14 Feb 2022 Julien Chhor, Flore Sentenac

We consider the problem of estimating a discrete distribution in total variation from $n$ contaminated data batches under a local differential privacy constraint.

Pure Exploration and Regret Minimization in Matching Bandits

no code implementations31 Jul 2021 Flore Sentenac, Jialin Yi, Clément Calauzènes, Vianney Perchet, Milan Vojnovic

Finding an optimal matching in a weighted graph is a standard combinatorial problem.

Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm

no code implementations NeurIPS 2021 Nathan Noiry, Flore Sentenac, Vianney Perchet

Motivated by sequential budgeted allocation problems, we investigate online matching problems where connections between vertices are not i. i. d., but they have fixed degree distributions -- the so-called configuration model.

Decentralized Learning in Online Queuing Systems

no code implementations NeurIPS 2021 Flore Sentenac, Etienne Boursier, Vianney Perchet

In the centralized case, the number of accumulated packets remains bounded (i. e., the system is \textit{stable}) as long as the ratio between service rates and arrival rates is larger than $1$.

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