Locally Accelerated Conditional Gradients. - Jelena Diakonikolas; Alejandro Carderera; Sebastian Pokutta (AISTATS, 2020)

Second-order Conditional Gradients. - Alejandro Carderera; Sebastian Pokutta (CoRR, 2020)

Parameter-free Locally Accelerated Conditional Gradients. - Alejandro Carderera; Jelena Diakonikolas; Cheuk Yin Lin; Sebastian Pokutta (ICML, 2021)

Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions. - Alejandro Carderera; Mathieu Besançon; Sebastian Pokutta (NeurIPS, 2021)

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)

Faster Conditional Gradient Algorithms for Machine Learning. - Alejandro Carderera (2022)

Scalable Frank-Wolfe on Generalized Self-Concordant Functions via Simple Steps. - Alejandro Carderera; Mathieu Besançon; Sebastian Pokutta (SIAM J. Optim., 2024)

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)