activity
20132023
most citedThe Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

210 citations · 451 across the 27 of their papers we have counts for

collaborators

28 papers

math.OC2023

Global stability of first-order methods for coercive tame functions

Cédric Josz, Lexiao Lai

We consider first-order methods with constant step size for minimizing locally Lipschitz coercive functions that are tame in an o-minimal structure on the real field. We prove that…

math.OC2023

Convergence of the momentum method for semialgebraic functions with locally Lipschitz gradients

Cédric Josz, Lexiao Lai, Xiaopeng Li

We propose a new length formula that governs the iterates of the momentum method when minimizing differentiable semialgebraic functions with locally Lipschitz gradients. It enables…

math.OC2023

Certifying the absence of spurious local minima at infinity

Cédric Josz, Xiaopeng Li

When searching for global optima of nonconvex unconstrained optimization problems, it is desirable that every local minimum be a global minimum. This property of having no spurious…

math.OC2023★ 3 cited

Global convergence of the gradient method for functions definable in o-minimal structures

Cédric Josz

We consider the gradient method with variable step size for minimizing functions that are definable in o-minimal structures on the real field and differentiable with locally Lipsch…

math.OC2022

Nonsmooth rank-one matrix factorization landscape

Cédric Josz, Lexiao Lai

We provide the first positive result on the nonsmooth optimization landscape of robust principal component analysis, to the best of our knowledge. It is the object of several conje…

math.OC2022

Sufficient conditions for instability of the subgradient method with constant step size

Cédric Josz, Lexiao Lai

We provide sufficient conditions for instability of the subgradient method with constant step size around a local minimum of a locally Lipschitz semi-algebraic function. They are s…