5 papers
Uniform error bounds for quantized dynamical models
Abdelkader Metakalard, Fabien Lauer, Kevin Colin +1
This paper provides statistical guarantees on the accuracy of dynamical models learned from dependent data sequences. Specifically, we develop uniform error bounds that apply to qu…
Regret Minimization in Scalar, Static, Non-linear Optimization Problems
Ying Wang, Mirko Pasquini, Kévin Colin +1
We study the problem of determining an effective exploration strategy in static and non-linear optimization problems, which depend on an unknown scalar parameter to be learned from…
Data-driven Bayesian estimation of Monod kinetics
Kévin Colin, Håkan Hjalmarsson, Véronique Chotteau
In this paper, we consider the well known problem of non-linear identification of the rates of the reactions involved in cells with Monod functions. In bioprocesses, generating dat…
Optimal exploration strategies for finite horizon regret minimization in some adaptive control problems
Kévin Colin, Håkan Hjalmarsson, Xavier Bombois
In this work, we consider the problem of regret minimization in adaptive minimum variance and linear quadratic control problems. Regret minimization has been extensively studied in…
Robustness of a feedback optimization scheme with application to bioprocess manufacturing
Mirko Pasquini, Kévin Colin, Véronique Chotteau +1
In this work the robustness of a feedback optimization scheme is discussed. Previously known results in literature, on the convergence to local optima of the optimization problem o…