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hal-01688030v1  Journal articles
Edouard Pauwels, Amir Beck, Yonina Eldar, Shoham 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 Pauwels, Mihai Putinar, Jean-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 Pauwels, Didier Henrion, Jean-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 Beck, Edouard Pauwels, Shoham 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 Pauwels, Didier Henrion, Jean-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 Pauwels, Didier Henrion, Jean-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-00943728v1  Journal articles
Edouard Pauwels, Christian Lajaunie, Jean-Philippe Vert. A Bayesian active learning strategy for sequential experimental design in systems biology
BMC Systems Biology, BioMed Central, 2014, 8, 12p. ⟨10.1186/s12918-014-0102-6⟩
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hal-01796591v2  Conference papers
Edouard Pauwels, Francis Bach, Jean-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 Lasserre, Edouard 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 Lasserre, Edouard 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-01069737v1  Journal articles
Jérôme Bolte, Edouard Pauwels. Majorization-minimization procedures and convergence of SQP methods for semi-algebraic and tame programs
Mathematics of Operations Research, INFORMS, 2016, 41 (2), ⟨10.1287/moor.2015.0735⟩
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hal-03109262v2  Book sections
Didier Henrion, Edouard 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-02140748v4  Preprints, Working Papers, ...
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels. An Inertial Newton Algorithm for Deep Learning
2020
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hal-02447733v2  Preprints, Working Papers, ...
Jerome Bolte, Edouard Pauwels. Curiosities and counterexamples in smooth convex optimization
2020
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hal-02896102v1  Preprints, Working Papers, ...
Edouard Pauwels. Incremental Without Replacement Sampling in Nonconvex Optimization
2020
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hal-02900875v1  Preprints, Working Papers, ...
Jérôme Bolte, Lilian Glaudin, Edouard Pauwels, Mathieu Serrurier. A Hölderian backtracking method for min-max and min-min problems
2020
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hal-02734446v2  Conference papers
Jerome Bolte, Edouard Pauwels. A mathematical model for automatic differentiation in machine learning
Conference on Neural Information Processing Systems, Dec 2020, Vancouver, Canada
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hal-02085835v2  Preprints, Working Papers, ...
Swann Marx, Edouard Pauwels, Tillmann Weisser, Didier Henrion, Jean-Bernard Lasserre. Semi-algebraic approximation using Christoffel-Darboux kernel
2020
hal-02940488v1  Conference papers
Tong Chen, Jean-Bernard Lasserre, Victor Magron, Edouard 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 Castera, Jérôme Bolte, Cédric Févotte, Edouard 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

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