:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cristinelli, Giacomo, Iglesias, José A.
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2603.22009
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional gradients for total variation regularization with PDE constraints: a graph cuts approach
by: Cristinelli, Giacomo, et al.
Published: (2023)

Linear convergence of a one-cut conditional gradient method for total variation regularization
by: Cristinelli, Giacomo, et al.
Published: (2025)

Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
by: Ren, Yinuo, et al.
Published: (2023)

Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective
by: Zhu, Jia-Jie
Published: (2024)

Fisher-Rao distance between truncated distributions and robustness analysis in uncertainty quantification
by: Ketema, Baalu Belay, et al.
Published: (2024)

PPO in the Fisher-Rao geometry
by: Lascu, Razvan-Andrei, et al.
Published: (2025)

Non-geodesically-convex optimization in the Wasserstein space
by: Luu, Hoang Phuc Hau, et al.
Published: (2024)

On propagation of chaos for the Fisher-Rao gradient flow in entropic mean-field optimization
by: Lazić, Petra, et al.
Published: (2026)

On the computation of the infinity Wasserstein distance and the Wasserstein Projection Problem
by: Auricchio, Gennaro, et al.
Published: (2025)

Sum-of-Squares Hierarchy for the Gromov Wasserstein Problem
by: Tran, Hoang Anh, et al.
Published: (2025)

Square Root-Factorized Covariance Steering
by: Kumagai, Naoya, et al.
Published: (2026)

The sparseness of g-convex functions
by: Wang, Yu, et al.
Published: (2024)

Long-Time Asymptotics of the Sliced-Wasserstein Flow
by: Cozzi, Giacomo, et al.
Published: (2024)

The Gromov-Wasserstein distance between spheres
by: Arya, Shreya, et al.
Published: (2023)

Extremal points and sparse optimization for generalized Kantorovich-Rubinstein norms
by: Carioni, Marcello, et al.
Published: (2022)

A hierarchy of convex relaxations for the total variation distance
by: Lasserre, Jean-Bernard
Published: (2024)

A Fisher-Rao gradient flow for entropic mean-field min-max games
by: Lascu, Razvan-Andrei, et al.
Published: (2024)

Strong duality in infinite convex optimization
by: Hantoute, Abderrahim, et al.
Published: (2025)

Sparse optimal control in the Wasserstein space
by: Sartor, Enrico, et al.
Published: (2026)

Moment Sum-of-Squares Hierarchy for Gromov Wasserstein: Continuous Extensions and Sample Complexity
by: Tran, Hoang Anh, et al.
Published: (2025)

Integral control of the proximal gradient method for unbiased sparse optimization
by: Cerone, V., et al.
Published: (2025)

Stability of Wasserstein projections in convex order via metric extrapolation
by: Kim, Jakwang, et al.
Published: (2025)

Hypodifferentials of nonsmooth convex functions and their applications to nonsmooth convex optimization
by: Dolgopolik, M. V.
Published: (2023)

A block-coordinate descent framework for non-convex composite optimization. Application to sparse precision matrix estimation
by: Lauga, Guillaume
Published: (2026)

Online convex optimization for constrained control of nonlinear systems
by: Nonhoff, Marko, et al.
Published: (2024)

Approximating the order 2 quantum Wasserstein distance using the moment-SOS hierarchy
by: Chhatoi, Saroj Prasad, et al.
Published: (2025)

Separable convex optimization over indegree polytopes
by: Borsik, Nóra A., et al.
Published: (2025)

Optimal transport and Wasserstein distances for causal models
by: Cheridito, Patrick, et al.
Published: (2023)

An SDE perspective on stochastic convex optimization
by: Maulen-Soto, Rodrigo, et al.
Published: (2022)

An accelerated proximal bundle method for convex optimization
by: Liao, Feng-Yi, et al.
Published: (2025)

Online convex optimization for robust control of constrained dynamical systems
by: Nonhoff, Marko, et al.
Published: (2024)

Term-sparse polynomial optimization for the design of frame structures
by: Handa, Marouan, et al.
Published: (2025)

Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
by: Bonet, Clément, et al.
Published: (2025)

Wasserstein crossover for evolutionary algorithm-based topology optimization
by: Kii, Taisei, et al.
Published: (2025)

Fast sparse optimization via adaptive shrinkage
by: Cerone, Vito, et al.
Published: (2025)

On quasi-convex smooth optimization problems by a comparison oracle
by: Gasnikov, A. V., et al.
Published: (2024)

Randomized gradient-free methods in convex optimization
by: Gasnikov, Alexander, et al.
Published: (2022)

Research on the descent direction of prediction correction algorithms for pseudo-convex/convex optimization problems
by: Li, Ting, et al.
Published: (2025)

Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization
by: Guigues, Vincent, et al.
Published: (2024)

Pruning for efficient deterministic global optimization over trained ReLU neural networks
by: Lastrucci, Giacomo, et al.
Published: (2026)