Amir Zandieh
Amir Zandieh
EPFL Computer Science
Verifierad e-postadress på epfl.ch - Startsida
TitelCiteras avÅr
Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees
H Avron, M Kapralov, C Musco, C Musco, A Velingker, A Zandieh
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
392017
Beyond -approximation for submodular maximization on massive data streams
A Norouzi-Fard, J Tarnawski, S Mitrović, A Zandieh, A Mousavifar, ...
arXiv preprint arXiv:1808.01842, 2018
192018
A universal sampling method for reconstructing signals with simple fourier transforms
H Avron, M Kapralov, C Musco, C Musco, A Velingker, A Zandieh
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019
92019
An adaptive sublinear-time block sparse Fourier transform
V Cevher, M Kapralov, J Scarlett, A Zandieh
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
72017
Dimension-independent sparse Fourier transform
M Kapralov, A Velingker, A Zandieh
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
42019
Oblivious sketching of high-degree polynomial kernels
TD Ahle, M Kapralov, JBT Knudsen, R Pagh, A Velingker, DP Woodruff, ...
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
22020
Oblivious sketching of high-degree polynomial kernels
M Kapralov, R Pagh, A Velingker, D Woodruff, A Zandieh
arXiv preprint arXiv:1909.01410, 2019
22019
Efficiently Learning Fourier Sparse Set Functions
A Amrollahi, A Zandieh, M Kapralov, A Krause
Advances in Neural Information Processing Systems, 15094-15103, 2019
12019
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Artiklar 1–8