J. Němeček, G. Bareilles, J. Aspman, J. Mareček: Piecewise polynomial regression of tame functions via integer programming. arXiv. 2023.
J. Aspman, G. Bareilles, V. Kungurtsev, J. Mareček, M. Takáč: Hybrid Methods in Polynomial Optimisation. arXiv. 2023.
G. Bareilles, F. Iutzeler, J. Malick: Harnessing structure in composite nonsmooth minimization. To appear in SIAM Journal on Optimization. 2023.
G. Bareilles, F. Iutzeler, J. Malick: Newton acceleration on manifolds identified by proximal-gradient methods. Mathematical Programming. 2022.
G. Bareilles, Y. Laguel, D. Grishchenko, F. Iutzeler, J. Malick. Randomized Progressive Hedging methods for Multi-stage Stochastic Programming. Annals of Operations Research. 2020.
G. Bareilles, F. Iutzeler. On the Interplay between Acceleration and Identification for the Proximal Gradient algorithm. Computational Optimization and Applications. 2020.
G. Bareilles. Structured nonsmooth optimization: proximal identification, fast local convergence, and applications. Ph.D. Thesis, Univ. Grenoble Alpes, defended December 2nd, 2022. Manuscript