Curriculum vitae

Royer Clément W.

Associate Professor
LAMSADE

clement.royerping@lamsade.dauphinepong.fr
Office : P633
Personal URL

Biography

Clément W. Royer got his PhD in applied mathematics from the university of Toulouse in 2016. He also holds an engineer degree in computer science and applied mathematics from the grande école ENSEEIHT (member of the National Polytechnique Institute of Toulouse).

From 2016 to 2019, he was a postdoctoral researcher at the Wisconsin Institute for Discovery, a transdisciplinary laboratory at the University of Wisconsin-Madison (USA). He was then a member of the optimization group and the data science hub.

Latest publications

Articles

Bergou E., Diouane Y., Kungurtsev V., Royer C. (2022), A stochastic Levenberg-Marquardt method using random models with complexity results, SIAM/ASA Journal on Uncertainty Quantification, vol. 10, n°1, p. 507-536

Bergou E., Diouane Y., Kungurtsev V., Royer C. (2021), A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems, SIAM Journal on Scientific Computing, vol. 43, n°5, p. S743-S766

Curtis F., Robinson D., Royer C., Wright S. (2021), Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Nonconvex Optimization, SIAM Journal on Optimization, vol. 31, n°1, p. 518-544

Gratton S., Royer C., Vicente L. (2020), A decoupled first/second-order steps technique for nonconvex nonlinear unconstrained optimization with improved complexity bounds, Mathematical Programming, vol. 179, n°1-2, p. 195–222

Royer C., O’Neill M., Wright S. (2020), A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization, Mathematical Programming, vol. 180, n°1-2, p. 451–488

Gratton S., Royer C., Vicente L., Zhang Z. (2019), Direct search based on probabilistic feasible descent for bound and linearly constrained problems, Computational Optimization and Applications, vol. 72, n°3, p. 525-559

Royer C., Wright S. (2018), Complexity Analysis of Second-Order Line-Search Algorithms for Smooth Nonconvex Optimization, SIAM Journal on Optimization, vol. 28, n°2, p. 1448-1477

Gratton S., Royer C., Vicente L., Zhang Z. (2018), Complexity and global rates of trust-region methods based on probabilistic models, IMA Journal of Numerical Analysis, vol. 38, n°3, p. 1579-1597

Gratton S., Royer C., Vicente L. (2015), A second-order globally convergent direct-search method and its worst-case complexity, Optimization. A Journal of Mathematical Programming and Operations Research, vol. 65, n°6, p. 1105-1128

Gratton S., Royer C., Vicente L., Zhang Z. (2015), Direct Search Based on Probabilistic Descent, SIAM Journal on Optimization, vol. 25, n°3, p. 1515-1541

Chapitres d'ouvrage

Caillau J-B., Royer C. (2014), On the injectivity and nonfocal domains of the ellipsoid of revolution, in Gianna Stefani, Ugo Boscain, Jean-Paul Gauthier, Andrey Sarychev, Mario Sigalotti, Geometric Control Theory and Sub-Riemannian Geometry, Cortona: Springer, p. 73-85

Communications avec actes

Meunier L., Chevaleyre Y., Rapin J., Royer C., Teytaud O. (2020), On Averaging the Best Samples in Evolutionary Computation, in Thomas Bäck, Mike Preuss, André Deutz, Berlin Heidelberg, Springer, 661-674 p.

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