Lazifying Conditional Gradient Algorithms G Braun, S Pokutta, D Zink Proceedings of the 34th International Conference on Machine Learning 70, 566 …, 2017 | 56 | 2017 |
Conditional Accelerated Lazy Stochastic Gradient Descent G Lan, S Pokutta, Y Zhou, D Zink Proceedings of the 34th International Conference on Machine Learning 70 …, 2017 | 43 | 2017 |
LP and SDP inapproximability of combinatorial problems G Braun, S Pokutta, D Zink arXiv preprint arXiv:1410.8816, 2014 | 29* | 2014 |
Inapproximability of combinatorial problems via small LPs and SDPs G Braun, S Pokutta, D Zink Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015 | 27 | 2015 |
Methods for detecting, monitoring and treating lymphedema MJ Weiler, JB Dixon, S Pokutta, D Zink, T Kassis US Patent App. 15/041,367, 2016 | 12 | 2016 |
The matching problem has no small symmetric SDP G Braun, J Brown-Cohen, A Huq, S Pokutta, P Raghavendra, A Roy, ... Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete …, 2016 | 7 | 2016 |
Affine reductions for LPs and SDPs G Braun, S Pokutta, D Zink Mathematical Programming, 1-32, 2014 | 4 | 2014 |
A reduction framework for approximate extended formulations and a faster algorithm for convex optimization D Zink Georgia Institute of Technology, 2017 | | 2017 |