| Proximal alternating linearized minimization for nonconvex and nonsmooth problems J Bolte, S Sabach, M Teboulle Mathematical Programming 146 (1), 459-494, 2014 | 2136 | 2014 |
| Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods H Attouch, J Bolte, BF Svaiter Mathematical programming 137 (1), 91-129, 2013 | 1866 | 2013 |
| Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the Kurdyka-Łojasiewicz inequality H Attouch, J Bolte, P Redont, A Soubeyran Mathematics of Operations Research 35 (2), 438-457, 2010 | 1587 | 2010 |
| The Łojasiewicz inequality for nonsmooth subanalytic functions with applications to subgradient dynamical systems J Bolte, A Daniilidis, A Lewis SIAM Journal on Optimization 17 (4), 1205-1223, 2007 | 966 | 2007 |
| On the convergence of the proximal algorithm for nonsmooth functions involving analytic features H Attouch, J Bolte Mathematical Programming 116 (1), 5-16, 2009 | 815 | 2009 |
| A descent lemma beyond Lipschitz gradient continuity: first-order methods revisited and applications HH Bauschke, J Bolte, M Teboulle Mathematics of Operations Research 42 (2), 330-348, 2017 | 576 | 2017 |
| Clarke subgradients of stratifiable functions J Bolte, A Daniilidis, A Lewis, M Shiota SIAM Journal on Optimization 18 (2), 556-572, 2007 | 568 | 2007 |
| Characterizations of Lojasiewicz inequalities: subgradient flows, talweg, convexity J Bolte, A Daniilidis, O Ley, L Mazet Trans. Amer. Math. Soc 362 (6), 3319-3363, 2010 | 474 | 2010 |
| From error bounds to the complexity of first-order descent methods for convex functions J Bolte, TP Nguyen, J Peypouquet, BW Suter Mathematical Programming 165 (2), 471-507, 2017 | 439 | 2017 |
| First order methods beyond convexity and Lipschitz gradient continuity with applications to quadratic inverse problems J Bolte, S Sabach, M Teboulle, Y Vaisbourd SIAM Journal on Optimization 28 (3), 2131-2151, 2018 | 280 | 2018 |
| A second-order gradient-like dissipative dynamical system with hessian-driven damping.: Application to optimization and mechanics F Alvarez, H Attouch, J Bolte, P Redont Journal de mathématiques pures et appliquées 81 (8), 747-779, 2002 | 279 | 2002 |
| Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning J Bolte, E Pauwels Mathematical Programming 188 (1), 19-51, 2021 | 212 | 2021 |
| Alternating proximal algorithms for weakly coupled convex minimization problems. Applications to dynamical games and PDE's H Attouch, J Bolte, P Redont, A Soubeyran Journal of Convex Analysis 15 (3), 485, 2008 | 201 | 2008 |
| Hessian Riemannian gradient flows in convex programming F Alvarez, J Bolte, O Brahic SIAM journal on control and optimization 43 (2), 477-501, 2004 | 169 | 2004 |
| Optimal complexity and certification of Bregman first-order methods RA Dragomir, AB Taylor, A d’Aspremont, J Bolte Mathematical Programming 194 (1), 41-83, 2022 | 135 | 2022 |
| Tame functions are semismooth J Bolte, A Daniilidis, A Lewis Mathematical Programming 117 (1), 5-19, 2009 | 114* | 2009 |
| A mathematical model for automatic differentiation in machine learning J Bolte, E Pauwels Advances in Neural Information Processing Systems 33, 10809-10819, 2020 | 103 | 2020 |
| Nonsmooth implicit differentiation for machine-learning and optimization J Bolte, T Le, E Pauwels, T Silveti-Falls Advances in neural information processing systems 34, 13537-13549, 2021 | 98 | 2021 |
| Majorization-minimization procedures and convergence of SQP methods for semi-algebraic and tame programs J Bolte, E Pauwels Mathematics of Operations Research 41 (2), 442-465, 2016 | 95 | 2016 |
| Modeling lead input and output in soils using lead isotopic geochemistry RM Semlali, JB Dessogne, F Monna, J Bolte, S Azimi, N Navarro, ... Environmental science & technology 38 (5), 1513-1521, 2004 | 94 | 2004 |
Edouard PauwelsToulouse School of EconomicsVerified email at tse-fr.eu
