activity
20162025
most citedInterpolation Constraints for Computing Worst-Case Bounds in Performance Estimation Problems

4 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2025★ 1 cited

Computer-aided analyses of stochastic first-order methods, via interpolation conditions for stochastic optimization

Anne Rubbens, Sébastien Colla, Julien M. Hendrickx

This work proposes a framework, embedded within the Performance Estimation framework (PEP), for obtaining worst-case performance guarantees on stochastic first-order methods. Given…

math.OC2025

Performance Estimation of second-order optimization methods on classes of univariate functions

Anne Rubbens, Nizar Bousselmi, Julien M. Hendrickx +1

We develop a principled approach to obtain exact computer-aided worst-case guarantees on the performance of second-order optimization methods on classes of univariate functions. We…

math.OC2025

A constructive approach to strengthen algebraic descriptions of function and operator classes

Anne Rubbens, Julien M. Hendrickx, Adrien Taylor

It is well known that functions (resp. operators) satisfying a property~ on a subset cannot necessarily be extended to a function (resp. operator) satisf…

math.OC2024★ 2 cited

A constraint-based approach to function interpolation, with application to performance estimation for weakly convex optimisation

Anne Rubbens, Julien M. Hendrickx

We consider the problem of obtaining interpolation constraints for function classes, i.e., necessary and sufficient constraints that a set of points, function values and (sub)gradi…

math.OC2023★ 4 cited

Interpolation Constraints for Computing Worst-Case Bounds in Performance Estimation Problems

Anne Rubbens, Nizar Bousselmi, Sebastien Colla +1

The Performance Estimation Problem (PEP) approach consists in computing worst-case performance bounds on optimization algorithms by solving an optimization problem: one maximizes a…

math.OC2021

Data-driven stability analysis of switched linear systems with Sum of Squares guarantees

Anne Rubbens, Zheming Wang, Raphaël M. Jungers

We present a new data-driven method to provide probabilistic stability guarantees for black-box switched linear systems. By sampling a finite number of observations of trajectories…

astro-ph.SR2016

Robust detection of CID double stars in SDSS

D. Pourbaix, G. R. Knapp, J. E. Gunn +5

Aims. The Sloan Digital Sky Survey (SDSS) offers a unique possibility of not only detecting Colour Induced Displacement (CID) double stars but also confirming these detections. Met…