Article

Portales, Léo, Cazelles, Elsa and Pauwels, Edouard (2026) On the Sequential Convergence of Lloyd’s Algorithms. Mathematics of Operations Research, Vol. 51 (n°2). pp. 1120-1138.

Bolte, Jérôme, Pauwels, Edouard, Le, Quoc Tung and Vaiter, Samuel (2026) Geometric and computational hardness of bilevel programming. Mathematical Programming, vol.215. pp. 539-574.

Bolte, Jérôme, Le, Tam, Moulines, Éric and Pauwels, Edouard (2025) Inexact subgradient methods for semialgebraic functions. Mathematical Programming. (In Press)

Pauwels, Edouard (2024) On the nature of Bregman functions. Operations Research Letters, Vol.57 (n°107183).

Bolte, Jérôme, Pauwels, Edouard and Vaiter, Samuel (2023) One-step differentiation of iterative algorithms. Advances in Neural Information Processing Systems 36. pp. 77089-77103.

Bolte, Jérôme, Glaudin, Lilian, Pauwels, Edouard and Serrurier, Matthieu (2023) The backtrack Hölder gradient method with application to min-max and min-min problems. Open Journal of Mathematical Optimization, vol.4 (n°8).

Bolte, Jérôme, Bertoin, David, Gerchinovitz, Sébastien and Pauwels, Edouard (2021) Numerical influence of ReLU’(0) on backpropagation. Advances in Neural Information Processing Systems, Vol. 34. pp. 468-479.

Bolte, Jérôme, Chen, Zheng and Pauwels, Edouard (2020) The multiproximal linearization method for convex composite problems. Mathematical Programming, vol. 182. pp. 1-36.

Bolte, Jérôme, Hochart, Antoine and Pauwels, Edouard (2018) Qualification conditions in semi-algebraic programming. SIAM Journal on Optimization, 28 (2). pp. 1867-1891.

Bolte, Jérôme and Pauwels, Edouard (2016) Majorization-minimization procedures and convergence of SQP methods for semi-algebraic and tame programs. Mathematics of Operations Research, vol. 41 (n° 2). pp. 442-465.

Book Section

Iutzeler, Franck, Pauwels, Edouard and Vaiter, Samuel (2024) Derivatives of Stochastic Gradient Descent in parametric optimization. In: Advances in Neural Information Processing Systems 37 Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. and Zhang, Chi (eds.) Neural Information Processing Systems Foundation, Inc. (NeurIPS). Series “Advances in Neural Information Processing Systems,volume 37” Vancouver pp. 118859-118882. ISBN 9798331314385

Bolte, Jérôme, Pauwels, Edouard and Vaiter, Samuel (2022) Automatic differentiation of nonsmooth iterative algorithms. In: 35th conference on neural information processing systems (NeurIPS 2021) Oh, A., Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D. and Cho, K. (eds.) NeurIPS/Curran Associates. Series “Advances in neural information processing systems, vol.35”, Vol. vol.36. San Mateo pp. 77089-77103. ISBN 9781713871088

Monograph

Bolte, Jérôme, Pauwels, Edouard and Rios-Zertuche, Rodolfo (2020) Long term dynamics of the subgradient method for Lipschitz path differentiable functions. TSE Working Paper, n. 20-1110, Toulouse

Bolte, Jérôme and Pauwels, Edouard (2020) Curiosities and counterexamples in smooth convex optimization. TSE Working Paper, n. 20-1080, Toulouse

Bolte, Jérôme, Castera, Camille, Pauwels, Edouard and Févotte, Cédric (2019) An Inertial Newton Algorithm for Deep Learning. TSE Working Paper, n. 19-1043, Toulouse