| Conditional gradient methods G Braun, A Carderera, CW Combettes, H Hassani, A Karbasi, A Mokhtari, ... arXiv preprint arXiv:2211.14103, 2022 | 47 | 2022 |
| 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 | 24 | 2021 |
| Locally accelerated conditional gradients J Diakonikolas, A Carderera, S Pokutta International Conference on Artificial Intelligence and Statistics 108, 1737 …, 2020 | 21 | 2020 |
| 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 | 18 | 2022 |
| 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 | 18 | 2021 |
| Second-order Conditional Gradient Sliding A Carderera, S Pokutta arXiv preprint arXiv:2002.08907, 2020 | 13 | 2020 |
| Parameter-free Locally Accelerated Conditional Gradients A Carderera, J Diakonikolas, CY Lin, S Pokutta International Conference on Machine Learning 139, 1283--1293, 2021 | 11 | 2021 |
| 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 | 1 | 2024 |
| 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 |
