Juan Peypouquet

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Global Optimization Algorithm through High-Resolution Sampling.
Trans. Mach. Learn. Res.
Daniel Cortild, Claire Delplancke, Nadia Oudjane, Juan Peypouquet
2025 J jnl
Krasnoselskii-Mann Iterations: Inertia, Perturbations and Approximation.
J. Optim. Theory Appl.
Daniel Cortild, Juan Peypouquet
2025 J jnl
New Tight Bounds for SGD without Variance Assumption: A Computer-Aided Lyapunov Analysis.
CoRR
Daniel Cortild, Lucas Ketels, Juan Peypouquet, Guillaume Garrigos
2023 J jnl
A Speed Restart Scheme for a Dynamics with Hessian-Driven Damping.
J. Optim. Theory Appl.
Juan José Maulén, Juan Peypouquet
2020 J jnl
Alternating forward-backward splitting for linearly constrained optimization problems.
Optim. Lett.
Cesare Molinari, Juan Peypouquet, Fernando Roldán
2019 J jnl
Asymptotic Equivalence of Evolution Equations Governed by Cocoercive Operators and Their Forward Discretizations.
J. Optim. Theory Appl.
Andrés Contreras, Juan Peypouquet
2019 J jnl
Convergence of inertial dynamics and proximal algorithms governed by maximally monotone operators.
Math. Program.
Hédy Attouch, Juan Peypouquet
2018 J jnl
Fast convergence of inertial dynamics and algorithms with asymptotic vanishing viscosity.
Math. Program.
Hédy Attouch, Zaki Chbani, Juan Peypouquet, Patrick Redont
2018 J jnl
Lagrangian Penalization Scheme with Parallel Forward-Backward Splitting.
J. Optim. Theory Appl.
Cesare Molinari, Juan Peypouquet
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
Aggregation heuristic for the open-pit block scheduling problem.
Eur. J. Oper. Res.
Enrique Jélvez, Nelson Morales, Pierre Nancel-Penard, Juan Peypouquet, Patricio Reyes
2016 J jnl
The Rate of Convergence of Nesterov's Accelerated Forward-Backward Method is Actually Faster Than 1/k
SIAM J. Optim.
Hédy Attouch, Juan Peypouquet
2015 J jnl
Splitting Methods with Variable Metric for Kurdyka-Łojasiewicz Functions and General Convergence Rates.
J. Optim. Theory Appl.
Pierre Frankel, Guillaume Garrigos, Juan Peypouquet
2014 J jnl
A Dynamical Approach to an Inertial Forward-Backward Algorithm for Convex Minimization.
SIAM J. Optim.
Hédy Attouch, Juan Peypouquet, Patrick Redont
2013 J jnl
Forward-Backward Penalty Scheme for Constrained Convex Minimization Without Inf-Compactness.
J. Optim. Theory Appl.
Nahla Noun, Juan Peypouquet
2012 J jnl
Coupling the Gradient Method with a General Exterior Penalization Scheme for Convex Minimization.
J. Optim. Theory Appl.
Juan Peypouquet
2011 J jnl
Coupling Forward-Backward with Penalty Schemes and Parallel Splitting for Constrained Variational Inequalities.
SIAM J. Optim.
Hédy Attouch, Marc-Olivier Czarnecki, Juan Peypouquet
2011 J jnl
Prox-Penalization and Splitting Methods for Constrained Variational Problems.
SIAM J. Optim.
Hédy Attouch, Marc-Olivier Czarnecki, Juan Peypouquet