Alejandro Carderera

According to our database, Alejandro Carderera authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

An efficient first-order conditional gradient algorithm in data-driven sparse identification of nonlinear dynamics to solve sparse recovery problems under noise.

Alejandro Carderera, Sebastian Pokutta, Christof Schütte, Martin Weiser

J. Comput. Appl. Math., 2025

2024

Scalable Frank-Wolfe on Generalized Self-Concordant Functions via Simple Steps.

Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta

SIAM J. Optim., 2024

2022

Faster Conditional Gradient Algorithms for Machine Learning.

Alejandro Carderera

PhD thesis, 2022

FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank-Wolfe Algorithms and Conditional Gradients.

Mathieu Besançon, Alejandro Carderera, Sebastian Pokutta

INFORMS J. Comput., 2022

2021

Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions.

Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Parameter-free Locally Accelerated Conditional Gradients.

Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Second-order Conditional Gradients.

Alejandro Carderera, Sebastian Pokutta

CoRR, 2020

Locally Accelerated Conditional Gradients.

Jelena Diakonikolas, Alejandro Carderera, Sebastian Pokutta

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020