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Alejandro Carderera
Alejandro Carderera
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Title
Cited by
Cited by
Year
Conditional gradient methods
G Braun, A Carderera, CW Combettes, H Hassani, A Karbasi, A Mokhtari, ...
arXiv preprint arXiv:2211.14103, 2022
512022
CINDy: Conditional gradient-based Identification of Non-linear Dynamics--Noise-robust recovery
A Carderera, S Pokutta, C Schütte, M Weiser
arXiv preprint arXiv:2101.02630, 2021
242021
Locally accelerated conditional gradients
J Diakonikolas, A Carderera, S Pokutta
International Conference on Artificial Intelligence and Statistics 108, 1737 …, 2020
222020
FrankWolfe. jl: A high-performance and flexible toolbox for Frank–Wolfe algorithms and conditional gradients
M Besançon, A Carderera, S Pokutta
INFORMS Journal on Computing 34 (5), 2611-2620, 2022
192022
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
A Carderera, M Besançon, S Pokutta
Advances in Neural Information Processing Systems, 2021
182021
Second-order Conditional Gradient Sliding
A Carderera, S Pokutta
arXiv preprint arXiv:2002.08907, 2020
132020
Parameter-free Locally Accelerated Conditional Gradients
A Carderera, J Diakonikolas, CY Lin, S Pokutta
International Conference on Machine Learning 139, 1283--1293, 2021
112021
Conditional gradient methods (2022)
G Braun, A Carderera, CW Combettes, H Hassani, A Karbasi, A Mokhtari, ...
arXiv preprint arXiv:2211.14103, 0
5
Scalable Frank–Wolfe on generalized self-concordant functions via simple steps
A Carderera, M Besançon, S Pokutta
SIAM Journal on Optimization 34 (3), 2231-2258, 2024
12024
Faster Conditional Gradient Algorithms for Machine Learning
A Carderera
Georgia Institute of Technology, 2021
2021
Breaking the Curse of Dimensionality (Locally) to Accelerate Conditional Gradients
J Diakonikolas, A Carderera, S Pokutta
OPT2019, 2019
2019
Drop Electrohydrodynamics
A Carderera
2016
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