Follow
Daniel Zink
Title
Cited by
Cited by
Year
Lazifying Conditional Gradient Algorithms
G Braun, S Pokutta, D Zink
Proceedings of the 34th International Conference on Machine Learning 70, 566 …, 2017
562017
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
432017
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
272015
Methods for detecting, monitoring and treating lymphedema
MJ Weiler, JB Dixon, S Pokutta, D Zink, T Kassis
US Patent App. 15/041,367, 2016
122016
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
72016
Affine reductions for LPs and SDPs
G Braun, S Pokutta, D Zink
Mathematical Programming, 1-32, 2014
42014
A reduction framework for approximate extended formulations and a faster algorithm for convex optimization
D Zink
Georgia Institute of Technology, 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–8