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Amir Zandieh
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Publications
- 2023
- [c14]Karl Bringmann, Michael Kapralov, Mikhail Makarov, Vasileios Nakos, Amir Yagudin, Amir Zandieh:
Traversing the FFT Computation Tree for Dimension-Independent Sparse Fourier Transforms. SODA 2023: 4768-4845 - 2021
- [i10]Karl Bringmann, Michael Kapralov, Mikhail Makarov, Vasileios Nakos, Amir Yagudin, Amir Zandieh:
Sparse Fourier Transform by traversing Cooley-Tukey FFT computation graphs. CoRR abs/2107.07347 (2021) - 2020
- [c9]Amir Zandieh, Navid Nouri, Ameya Velingker, Michael Kapralov, Ilya P. Razenshteyn:
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing. AISTATS 2020: 4088-4097 - [c7]Thomas D. Ahle, Michael Kapralov, Jakob Bæk Tejs Knudsen, Rasmus Pagh, Ameya Velingker, David P. Woodruff, Amir Zandieh:
Oblivious Sketching of High-Degree Polynomial Kernels. SODA 2020: 141-160 - [i9]Michael Kapralov, Navid Nouri, Ilya P. Razenshteyn, Ameya Velingker, Amir Zandieh:
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing. CoRR abs/2003.09756 (2020) - 2019
- [c6]Andisheh Amrollahi, Amir Zandieh, Michael Kapralov, Andreas Krause:
Efficiently Learning Fourier Sparse Set Functions. NeurIPS 2019: 15094-15103 - [c5]Michael Kapralov, Ameya Velingker, Amir Zandieh:
Dimension-independent Sparse Fourier Transform. SODA 2019: 2709-2728 - [c4]Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh:
A universal sampling method for reconstructing signals with simple Fourier transforms. STOC 2019: 1051-1063 - [i7]Michael Kapralov, Ameya Velingker, Amir Zandieh:
Dimension-independent Sparse Fourier Transform. CoRR abs/1902.10633 (2019) - [i6]Michael Kapralov, Rasmus Pagh, Ameya Velingker, David P. Woodruff, Amir Zandieh:
Oblivious Sketching of High-Degree Polynomial Kernels. CoRR abs/1909.01410 (2019) - 2018
- [i5]Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh:
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees. CoRR abs/1804.09893 (2018) - [i3]Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh:
A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms. CoRR abs/1812.08723 (2018) - 2017
- [c2]Haim Avron, Michael Kapralov, Cameron Musco, Christopher Musco, Ameya Velingker, Amir Zandieh:
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees. ICML 2017: 253-262 - [c1]Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh:
An adaptive sublinear-time block sparse fourier transform. STOC 2017: 702-715 - [i2]Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh:
An Adaptive Sublinear-Time Block Sparse Fourier Transform. CoRR abs/1702.01286 (2017)
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