most citedNon-Stationary Gradient Descent for Optimal Auto-Scaling in Serverless Platforms

6 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

math.PR2026

Scheduling jobs with unknown size distribution in a M/G/1 queue: the shifted empirical Gittins

Nicolas Gast, Bruno Gaujal, Adrien Obrecht

In this paper we consider a M/G/1 queue for which we want to minimize the expected response time. We show how to compute indices from samples of the job size distribution such…

cs.GT2026

Can a Weaker Player Win? Adaptive Play in Repeated Games

Jonatha ANSELMI, Bruno Gaujal

Consider a two-player game repeated N times. Player 1 can choose between two styles (for interpretability, offensive and defensive), whereas Player 2 uses a single fixed style. Let…

cs.LG2025

Model-Based Learning of Whittle indices

Joël Charles-Rebuffé, Nicolas Gast, Bruno Gaujal

We present BLINQ, a new model-based algorithm that learns the Whittle indices of an indexable, communicating and unichain Markov Decision Process (MDP). Our approach relies on buil…

math.OC2025

Integrating Aggregated Electric Vehicle Flexibilities in Unit Commitment Models using Submodular Optimization

Hélène Arvis, Olivier Beaude, Nicolas Gast +2

The Unit Commitment (UC) problem consists in controlling a large fleet of heterogeneous electricity production units in order to minimize the total production cost while satisfying…

math.OC2025★ 6 cited

Non-Stationary Gradient Descent for Optimal Auto-Scaling in Serverless Platforms

Jonatha Anselmi, Bruno Gaujal, Louis-Sebastien Rebuffi

To efficiently manage serverless computing platforms, a key aspect is the auto-scaling of services, i.e., the set of computational resources allocated to a service adapts over time…