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Cédric Josz
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2020 – today
- 2024
- [j15]Cédric Josz, Lexiao Lai:
Global stability of first-order methods for coercive tame functions. Math. Program. 207(1): 551-576 (2024) - [j14]Cédric Josz, Lexiao Lai:
Sufficient Conditions for Instability of the Subgradient Method with Constant Step Size. SIAM J. Optim. 34(1): 57-70 (2024) - [i3]Théodore Fougereux, Cédric Josz, Xiaopeng Li:
Global convergence of gradient descent for phase retrieval. CoRR abs/2410.09990 (2024) - 2023
- [j13]Cédric Josz:
Global convergence of the gradient method for functions definable in o-minimal structures. Math. Program. 202(1): 355-383 (2023) - [j12]Cédric Josz:
Correction: Global convergence of the gradient method for functions definable in o-minimal structures. Math. Program. 202(1): 385 (2023) - [j11]Cédric Josz, Lexiao Lai:
Lyapunov stability of the subgradient method with constant step size. Math. Program. 202(1): 387-396 (2023) - [j10]Cédric Josz, Lexiao Lai:
Publisher Correction to: Lyapunov stability of the subgradient method with constant step size. Math. Program. 202(1): 397-398 (2023) - [j9]Cédric Josz, Xiaopeng Li:
Certifying the Absence of Spurious Local Minima at Infinity. SIAM J. Optim. 33(3): 1416-1439 (2023) - [j8]Cédric Josz, Lexiao Lai, Xiaopeng Li:
Convergence of the Momentum Method for Semialgebraic Functions with Locally Lipschitz Gradients. SIAM J. Optim. 33(4): 3012-3037 (2023) - [j7]Salar Fattahi, Cédric Josz, Yuhao Ding, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi:
On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization. IEEE Trans. Autom. Control. 68(1): 80-95 (2023) - 2022
- [j6]Cédric Josz, Lexiao Lai:
Nonsmooth rank-one matrix factorization landscape. Optim. Lett. 16(6): 1611-1631 (2022) - 2021
- [c9]Sikun Xu, Ruoyi Ma, Daniel K. Molzahn, Hassan L. Hijazi, Cédric Josz:
Verifying Global Optimality of Candidate Solutions to Polynomial Optimization Problems using a Determinant Relaxation Hierarchy. CDC 2021: 3143-3148 - 2020
- [j5]Fariba Zohrizadeh, Cédric Josz, Ming Jin, Ramtin Madani, Javad Lavaei, Somayeh Sojoudi:
A survey on conic relaxations of optimal power flow problem. Eur. J. Oper. Res. 287(2): 391-409 (2020) - [c8]Salar Fattahi, Cédric Josz, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi:
Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective. CCTA 2020: 140-147
2010 – 2019
- 2019
- [j4]Cédric Josz, Jean-Bernard Lasserre, Bernard Mourrain:
Sparse polynomial interpolation: sparse recovery, super-resolution, or Prony? Adv. Comput. Math. 45(3): 1401-1437 (2019) - [j3]Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi:
Conic optimization for control, energy systems, and machine learning: Applications and algorithms. Annu. Rev. Control. 47: 323-340 (2019) - [c7]Cédric Josz, Daniel K. Molzahn, Matteo Tacchi, Somayeh Sojoudi:
Transient Stability Analysis of Power Systems via Occupation Measures. ISGT 2019: 1-5 - [i2]Sogol Babaeinejadsarookolaee, Adam B. Birchfield, Richard D. Christie, Carleton Coffrin, Christopher L. DeMarco, Ruisheng Diao, Michael Ferris, Stephane Fliscounakis, Scott Greene, Renke Huang, Cédric Josz, Roman Korab, Bernard C. Lesieutre, Jean Maeght, Daniel K. Molzahn, Thomas J. Overbye, Patrick Panciatici, Byungkwon Park, Jonathan Snodgrass, Ray Zimmerman:
The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms. CoRR abs/1908.02788 (2019) - 2018
- [j2]Cédric Josz, Daniel K. Molzahn:
Lasserre Hierarchy for Large Scale Polynomial Optimization in Real and Complex Variables. SIAM J. Optim. 28(2): 1017-1048 (2018) - [c6]Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi:
Conic Optimization Theory: Convexification Techniques and Numerical Algorithms. ACC 2018: 798-815 - [c5]Cédric Josz, Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Somayeh Sojoudi:
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization. NeurIPS 2018: 2446-2454 - [c4]Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi, Javad Lavaei:
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS 2018: 5591-5602 - [i1]Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi, Javad Lavaei:
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? CoRR abs/1805.10251 (2018) - 2016
- [j1]Cédric Josz, Didier Henrion:
Strong duality in Lasserre's hierarchy for polynomial optimization. Optim. Lett. 10(1): 3-10 (2016) - [c3]Daniel K. Molzahn, Cédric Josz, Ian A. Hiskens:
Moment relaxations of optimal power flow problems: Beyond the convex hull. GlobalSIP 2016: 856-860 - [c2]Daniel K. Molzahn, Ian A. Hiskens, Cédric Josz, Patrick Panciatici:
Computational analysis of sparsity-exploiting moment relaxations of the OPF problem. PSCC 2016: 1-7 - 2015
- [c1]Daniel K. Molzahn, Cédric Josz, Ian A. Hiskens, Patrick Panciatici:
Solution of optimal power flow problems using moment relaxations augmented with objective function penalization. CDC 2015: 31-38
Coauthor Index
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