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hal-01688030v1  Journal articles
Edouard PauwelsAmir BeckYonina EldarShoham Sabach. On Fienup Methods for Sparse Phase Retrieval
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2018, 66 (4), pp.982 - 991. ⟨10.1109/TSP.2017.2780044⟩
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hal-01845137v3  Journal articles
Edouard PauwelsMihai PutinarJean-Bernard Lasserre. Data analysis from empirical moments and the Christoffel function
Foundations of Computational Mathematics, Springer Verlag, 2021, 21, pp.243--273. ⟨10.1007/s10208-020-09451-2⟩
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hal-00961722v1  Conference papers
Edouard PauwelsDidier HenrionJean-Bernard Lasserre. Inverse optimal control with polynomial optimization
IEEE Conference on Decision and Control ( CDC ), Dec 2014, Los Angeles, United States. pp.5581-5586
hal-01491541v1  Journal articles
Amir BeckEdouard PauwelsShoham Sabach. The Cyclic Block Conditional Gradient Method for Convex Optimization Problems
SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2015
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hal-01080428v3  Journal articles
Edouard PauwelsDidier HenrionJean-Bernard Lasserre. Linear conic optimization for inverse optimal control
SIAM Journal on Control and Optimization, Society for Industrial and Applied Mathematics, 2016, 54 (3), pp.1798-1825
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hal-01311874v1  Book sections
Edouard PauwelsDidier HenrionJean-Bernard Lasserre. Positivity certificates in optimal control
Springer. Geometric and Numerical Foundations of Movements, 117, Springer, pp.113-131, 2017, Springer Tracts in Advanced Robotics, 978-3-319-51546-5
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hal-01796591v2  Conference papers
Edouard PauwelsFrancis BachJean-Philippe Vert. Relating Leverage Scores and Density using Regularized Christoffel Functions
Neural Information Processing Systems, Dec 2018, Montréal, Canada
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hal-01331591v1  Conference papers
Jean-Bernard LasserreEdouard Pauwels. Sorting out typicality with the inverse moment matrix SOS polynomial
Neural Information Processing Systems (NIPS 2016), Dec 2016, Barcelone, Spain
hal-01511624v1  Journal articles
Jean-Bernard LasserreEdouard Pauwels. The empirical Christoffel function with applications in data analysis
Advances in Computational Mathematics, Springer Verlag, 2019, 45 (3), pp.1439--1468. ⟨10.1007/s10444-019-09673-1⟩
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hal-03109262v2  Book sections
Didier HenrionEdouard Pauwels. Linear conic optimization for nonlinear optimal control
Terlaky, Tamas; Anjos, Miguel; Ahmed, Shabbir. Advances and Trends in Optimization with Engineering Applications, Chapitre 10, SIAM, pp.121-133, 2017, 978-1-61197-467-6. ⟨10.1137/1.9781611974683.ch10⟩
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hal-02734446v2  Conference papers
Jerome BolteEdouard Pauwels. A mathematical model for automatic differentiation in machine learning
Conference on Neural Information Processing Systems, Dec 2020, Vancouver, Canada
hal-02940488v1  Conference papers
Tong ChenJean-Bernard LasserreVictor MagronEdouard Pauwels. Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
Conference on Neural Information Processing Systems, Dec 2020, Vancouver, Canada
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hal-03049921v1  Conference papers
Camille CasteraJérôme BolteCédric FévotteEdouard Pauwels. An Inertial Newton Algorithm for Deep Learning
Thirty-third Conference on Neural Information Processing Systems : Beyond First Order Methods in ML (NeurIPS Workshop2019), Neural Information Processing Systems Foundation, Dec 2019, Vancouver, Canada