Jérôme Bolte

61 papers A* 6B 1Journal 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Geometric and computational hardness of bilevel programming. Math. Program. Jérôme Bolte, Quoc-Tung Le, Edouard Pauwels, Samuel Vaiter
2026	J	`jnl`	The adjoint state method for parametric definable optimization without smoothness or uniqueness. CoRR Jérôme Bolte, Edouard Pauwels, Cheik Traoré
2025	J	`jnl`	A second-order-like optimizer with adaptive gradient scaling for deep learning. Trans. Mach. Learn. Res. Jérôme Bolte, Ryan Boustany, Edouard Pauwels, Andrei I. Purica
2025	J	`jnl`	Convergence of optimizers implies eigenvalues filtering at equilibrium. CoRR Jérôme Bolte, Quoc-Tung Le, Edouard Pauwels
2025	J	`jnl`	Improving in-context learning with a better scoring function. CoRR Omar Naim, Swarnadeep Bhar, Jérôme Bolte, Nicholas Asher
2025	J	`jnl`	When majority rules, minority loses: bias amplification of gradient descent. CoRR François Bachoc, Jérôme Bolte, Ryan Boustany, Jean-Michel Loubes
2024	J	`jnl`	A second-order-like optimizer with adaptive gradient scaling for deep learning. CoRR Jérôme Bolte, Ryan Boustany, Edouard Pauwels, Andrei I. Purica
2024	J	`jnl`	Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems. SIAM J. Optim. Jérôme Bolte, Edouard Pauwels, Antonio Silveti-Falls
2024	J	`jnl`	Geometric and computational hardness of bilevel programming. CoRR Jérôme Bolte, Quoc-Tung Le, Edouard Pauwels, Samuel Vaiter
2024	J	`jnl`	Swarm gradient dynamics for global optimization: the mean-field limit case. Math. Program. Jérôme Bolte, Laurent Miclo, Stéphane Villeneuve
2024	J	`jnl`	The Iterates of the Frank-Wolfe Algorithm May Not Converge. Math. Oper. Res. Jérôme Bolte, Cyrille W. Combettes, Edouard Pauwels
2023	A*	`conf`	On the complexity of nonsmooth automatic differentiation. ICLR Jérôme Bolte, Ryan Boustany, Edouard Pauwels, Béatrice Pesquet-Popescu
2023	A*	`conf`	One-step differentiation of iterative algorithms. NeurIPS Jérôme Bolte, Edouard Pauwels, Samuel Vaiter
2023	J	`jnl`	One-step differentiation of iterative algorithms. CoRR Jérôme Bolte, Edouard Pauwels, Samuel Vaiter
2023	J	`jnl`	Subgradient Sampling for Nonsmooth Nonconvex Minimization. SIAM J. Optim. Jérôme Bolte, Tam Le, Edouard Pauwels
2023	J	`jnl`	The backtrack Hölder gradient method with application to min-max and min-min problems. Open J. Math. Optim. Jérôme Bolte, Lilian Glaudin, Edouard Pauwels, Mathieu Serrurier
2022	A*	`conf`	Automatic differentiation of nonsmooth iterative algorithms. NeurIPS Jérôme Bolte, Edouard Pauwels, Samuel Vaiter
2022	J	`jnl`	Automatic differentiation of nonsmooth iterative algorithms. CoRR Jérôme Bolte, Edouard Pauwels, Samuel Vaiter
2022	J	`jnl`	Curiosities and counterexamples in smooth convex optimization. Math. Program. Jérôme Bolte, Edouard Pauwels
2022	J	`jnl`	Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems. CoRR Jérôme Bolte, Edouard Pauwels, Antonio José Silveti-Falls
2022	J	`jnl`	Nonsmooth automatic differentiation: a cheap gradient principle and other complexity results. CoRR Jérôme Bolte, Ryan Boustany, Edouard Pauwels, Béatrice Pesquet-Popescu
2022	J	`jnl`	Optimal complexity and certification of Bregman first-order methods. Math. Program. Radu-Alexandru Dragomir, Adrien B. Taylor, Alexandre d'Aspremont, Jérôme Bolte
2022	J	`jnl`	Second-Order Step-Size Tuning of SGD for Non-Convex Optimization. Neural Process. Lett. Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
2021	J	`jnl`	An Inertial Newton Algorithm for Deep Learning. J. Mach. Learn. Res. Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
2021	J	`jnl`	Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning. Math. Program. Jérôme Bolte, Edouard Pauwels
2021	J	`jnl`	Nonsmooth Implicit Differentiation for Machine Learning and Optimization. CoRR Jérôme Bolte, Tam Le, Edouard Pauwels, Antonio Silveti-Falls
2021	A*	`conf`	Nonsmooth Implicit Differentiation for Machine-Learning and Optimization. NeurIPS Jérôme Bolte, Tam Le, Edouard Pauwels, Antonio Silveti-Falls
2021	A*	`conf`	Numerical influence of ReLU'(0) on backpropagation. NeurIPS David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels
2021	J	`jnl`	Numerical influence of ReLU'(0) on backpropagation. CoRR David Bertoin, Jérôme Bolte, Sébastien Gerchinovitz, Edouard Pauwels
2021	J	`jnl`	Quartic First-Order Methods for Low-Rank Minimization. J. Optim. Theory Appl. Radu-Alexandru Dragomir, Alexandre d'Aspremont, Jérôme Bolte
2021	J	`jnl`	Second-order step-size tuning of SGD for non-convex optimization. CoRR Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
2020	J	`jnl`	A Hölderian backtracking method for min-max and min-min problems. CoRR Jérôme Bolte, Lilian Glaudin, Edouard Pauwels, Mathieu Serrurier
2020	A*	`conf`	A mathematical model for automatic differentiation in machine learning. NeurIPS Jérôme Bolte, Edouard Pauwels
2020	J	`jnl`	A mathematical model for automatic differentiation in machine learning. CoRR Jérôme Bolte, Edouard Pauwels
2020	J	`jnl`	Long term dynamics of the subgradient method for Lipschitz path differentiable functions. CoRR Jérôme Bolte, Edouard Pauwels, Rodolfo Rios-Zertuche
2020	J	`jnl`	The multiproximal linearization method for convex composite problems. Math. Program. Jérôme Bolte, Zheng Chen, Edouard Pauwels
2019	J	`jnl`	An Inertial Newton Algorithm for Deep Learning. CoRR Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
2019	J	`jnl`	Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning. CoRR Jérôme Bolte, Edouard Pauwels
2019	J	`jnl`	On Linear Convergence of Non-Euclidean Gradient Methods without Strong Convexity and Lipschitz Gradient Continuity. J. Optim. Theory Appl. Heinz H. Bauschke, Jérôme Bolte, Jiawei Chen, Marc Teboulle, Xianfu Wang
2019	J	`jnl`	Optimal Complexity and Certification of Bregman First-Order Methods. CoRR Radu-Alexandru Dragomir, Adrien B. Taylor, Alexandre d'Aspremont, Jérôme Bolte
2018	J	`jnl`	First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems. SIAM J. Optim. Jérôme Bolte, Shoham Sabach, Marc Teboulle, Yakov Vaisbourd
2018	J	`jnl`	Nonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global Convergence. Math. Oper. Res. Jérôme Bolte, Shoham Sabach, Marc Teboulle
2018	J	`jnl`	Qualification Conditions in Semialgebraic Programming. SIAM J. Optim. Jérôme Bolte, Antoine Hochart, Edouard Pauwels
2017	J	`jnl`	A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications. Math. Oper. Res. Heinz H. Bauschke, Jérôme Bolte, Marc Teboulle
2017	J	`jnl`	First Order Methods beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems. CoRR Jérôme Bolte, Shoham Sabach, Marc Teboulle, Yakov Vaisbourd
2017	J	`jnl`	From error bounds to the complexity of first-order descent methods for convex functions. Math. Program. Jérôme Bolte, Trong Phong Nguyen, Juan Peypouquet, Bruce W. Suter
2016	J	`jnl`	Majorization-Minimization Procedures and Convergence of SQP Methods for Semi-Algebraic and Tame Programs. Math. Oper. Res. Jérôme Bolte, Edouard Pauwels
2015	J	`jnl`	Definable Zero-Sum Stochastic Games. Math. Oper. Res. Jérôme Bolte, Stéphane Gaubert, Guillaume Vigeral
2014	J	`jnl`	Proximal alternating linearized minimization for nonconvex and nonsmooth problems. Math. Program. Jérôme Bolte, Shoham Sabach, Marc Teboulle
2013	J	`jnl`	Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized Gauss-Seidel methods. Math. Program. Hédy Attouch, Jérôme Bolte, Benar Fux Svaiter
2012	J	`jnl`	Asymptotic expansions for interior penalty solutions of control constrained linear-quadratic problems. Math. Program. Felipe Alvarez, Jérôme Bolte, J. Frédéric Bonnans, Francisco J. Silva
2011	J	`jnl`	Generic Optimality Conditions for Semialgebraic Convex Programs. Math. Oper. Res. Jérôme Bolte, Aris Daniilidis, Adrian S. Lewis
2010	B	`conf`	Alternating proximal algorithm for blind image recovery. ICIP Jérôme Bolte, Patrick L. Combettes, Jean-Christophe Pesquet
2010	J	`jnl`	Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Lojasiewicz Inequality. Math. Oper. Res. Hédy Attouch, Jérôme Bolte, Patrick Redont, Antoine Soubeyran
2009	J	`jnl`	On the convergence of the proximal algorithm for nonsmooth functions involving analytic features. Math. Program. Hédy Attouch, Jérôme Bolte
2009	J	`jnl`	Tame functions are semismooth. Math. Program. Jérôme Bolte, Aris Daniilidis, Adrian S. Lewis
2008	J	`jnl`	A Unifying Local Convergence Result for Newton's Method in Riemannian Manifolds. Found. Comput. Math. Felipe Alvarez, Jérôme Bolte, Julien Munier
2007	J	`jnl`	Clarke Subgradients of Stratifiable Functions. SIAM J. Optim. Jérôme Bolte, Aris Daniilidis, Adrian S. Lewis, Masahiro Shiota
2007	J	`jnl`	The [barred L]ojasiewicz Inequality for Nonsmooth Subanalytic Functions with Applications to Subgradient Dynamical Systems. SIAM J. Optim. Jérôme Bolte, Aris Daniilidis, Adrian S. Lewis
2004	J	`jnl`	Hessian Riemannian Gradient Flows in Convex Programming. SIAM J. Control. Optim. Felipe Alvarez, Jérôme Bolte, Olivier Brahic
2003	J	`jnl`	Barrier Operators and Associated Gradient-Like Dynamical Systems for Constrained Minimization Problems. SIAM J. Control. Optim. Jérôme Bolte, Marc Teboulle