Edouard Pauwels

Jérôme Bolte, Cyrille Combettes, and Edouard Pauwels, “The Iterates of the Frank–Wolfe Algorithm May Not Converge”, Mathematics of Operations Research, vol. 49, n. 4, November 2024, pp. 2049–2802.

Edouard Pauwels, “Conservative parametric optimality and the ridge method for tame min-max problems”, Set-Valued and Variational Analysis, vol. 31, n. 19, June 2023.

M. Fabian, Jean-Baptiste Hiriart-Urruty, and Edouard Pauwels, “On the Generalized Jacobian of the Inverse of a Lipschitzian Mapping”, Set-Valued and Variational Analysis, vol. 30, May 2022, p. 1443–1451.

Jérôme Bolte, Tam Le, Edouard Pauwels, and Antonio Silveti-Falls, “Nonsmooth Implicit Differentiation for Machine Learning and Optimization”, March 2022.

Tong Chen, Jean-Bernard Lasserre, Victor Magron, and Edouard Pauwels, “A sublevel moment-SOS hierarchy for polynomial optimization”, Computational Optimization and Applications, vol. 81, January 2022, pp. 31–66.

Jérôme Bolte, Zheng Chen, and Edouard Pauwels, “The multiproximal linearization method for convex composite problems”, Mathematical Programming, vol. 182, July 2020, pp. 1–36.

Jérôme Bolte, and Edouard Pauwels, “Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning”, Mathematical Programming, April 2020, pp. 1–33.

Jérôme Bolte, and Edouard Pauwels, “A mathematical model for automatic differentiation in machine learning”, in Advances in Neural Information Processing Systems, Hugo Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (eds.), vol. 33, 2020.

Jérôme Bolte, Antoine Hochart, and Edouard Pauwels, “Qualification conditions in semi-algebraic programming”, SIAM Journal on Optimization, vol. 28, n. 2, 2018, pp. 1867–1891.

Jérôme Bolte, and Edouard Pauwels, “Majorization-minimization procedures and convergence of SQP methods for semi-algebraic and tame programs”, Mathematics of Operations Research, January 2016, pp. 442–465.