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Email : clement.royer(at)lamsade.dauphine.fr
Clément Royer
Université Paris Dauphine-PSL
Place du Maréchal de Lattre de Tassigny
75016 Paris
FRANCE
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Clément W. Royer

La version française de cette page se trouve ici.


Submitted preprints

Direct search based on probabilistic descent in reduced spaces
     L. Roberts and C. W. Royer.
     Technical report arXiv:2204.01275, April 2022.
A nonlinear conjugate gradient method with complexity guarantees and its application to nonconvex regression
     R. Chan--Renous-Legoubin and C. W. Royer.
     Technical report arXiv:2201.08568, January 2022.

Articles in refereed journals

A subsampling line-search method with second-order results
     E. Bergou, Y. Diouane, V. Kunc, V. Kungurstev and C. W. Royer.
     Accepted in INFORMS Journal on Optimization.
A stochastic Levenberg-Marquardt method using random models with complexity results
     E. Bergou, Y. Diouane, V. Kungurstev and C. W. Royer.
     SIAM/ASA Journal on Uncertainty Quantification, 10(1):507-536, 2022.
A nonmonotone matrix-free algorithm for nonlinear equality-constrained least-squares problems
     E. Bergou, Y. Diouane, V. Kungurstev and C. W. Royer.
     SIAM Journal on Scientific Computing, 43(5):S743-S766, 2021.
Trust-region Newton-CG with strong second-order complexity guarantees for nonconvex optimization
     F. E. Curtis, D. P. Robinson, C. W. Royer and S. J. Wright.
     SIAM Journal on Optimization, 31(1):518-544, 2021.
A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization
     C. W. Royer, M. O'Neill and S. J. Wright.
     Mathematical Programming, 180:451-488, 2020.
A decoupled first/second-order steps technique for nonconvex nonlinear unconstrained optimization with improved complexity bounds
     S. Gratton, C. W. Royer and L. N. Vicente.
     Mathematical Programming, 179(1):195-222, 2020.
Direct search based on probabilistic feasible descent for bound and linearly constrained problems
     S. Gratton, C. W. Royer, L. N. Vicente and Z. Zhang.
     Computational Optimization and Applications, 72(3):525-559, 2019.(COAP Best Paper prize for 2019.)
Complexity analysis of second-order line-search algorithms for smooth nonconvex optimization
     C. W. Royer and S. J. Wright.
     SIAM Journal on Optimization, 28(2):1448-1477, 2018.
Complexity and global rates of trust-region methods based on probabilistic models
     S. Gratton, C. W. Royer, L. N. Vicente and Z. Zhang.
     IMA Journal of Numerical Analysis, 38(3):1579-1597, 2018.
A second-order globally convergent direct-search method and its worst-case complexity
     S. Gratton, C. W. Royer and L. N. Vicente.
     Optimization, 65(6):1105-1128, 2016.
Direct search based on probabilistic descent
     S. Gratton, C. W. Royer, L. N. Vicente and Z. Zhang.
     SIAM Journal on Optimization, 25(3):1515-1541, 2015.

Conference proceedings

On averaging the best samples in evolutionary computation
     L. Meunier, Y. Chevaleyre, J. Rapin, C. W. Royer and O. Teytaud.
     Parallel Problem Solving from Nature - PPSN XVI, 661-674, Springer, 2020.
On the injectivity and nonfocal domains of the ellipsoid of revolution
     J.-B. Caillau and C. W. Royer.
     Geometric Control Theory and Sub-Riemannian Geometry, 73-86, Springer, 2014
     Proceedings of the INDAM meeting on Geometric Control and sub-Riemannian geometry, May 2012.

PhD Thesis

Derivative-Free Optimization Methods based on Probabilistic and Deterministic Properties: Complexity Analysis and Numerical Relevance.
     C. W. Royer, University of Toulouse, November 2016.
     Defence slides

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List of collaborators (in reverse chronological order)

Lindon Roberts
Rémi Chan--Renous-Legoubin
Olivier Teytaud
Jérémy Rapin
Yann Chevaleyre
Laurent Meunier
Vladimir Kunc
Daniel P. Robinson
Frank E. Curtis
Vyacheslav Kungurstev
Youssef Diouane
El Houcine Bergou
Michael O'Neill
Stephen J. Wright
Zaikun Zhang
Luís Nunes Vicente
Serge Gratton
Jean-Baptiste Caillau

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This page was designed by Clothilde Royer, many thanks to her.
Materials on this page are available under Creative Commons CC BY-NC 4.0 license.