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Amir Zandieh

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Michael Kapralov

> Home > Persons > Amir Zandieh

Publications

2023
[c14]
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  - conf/soda/BringmannKMNYZ23
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  - https://dblp.org/rec/conf/soda/BringmannKMNYZ23
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]
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  - journals/corr/abs-2107-07347
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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]
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  - conf/aistats/ZandiehNVKR20
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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]
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  - conf/soda/AhleKKPVWZ20
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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]
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  dblp key:
  - journals/corr/abs-2003-09756
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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]
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  - conf/nips/AmrollahiZKK19
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Andisheh Amrollahi, Amir Zandieh, Michael Kapralov, Andreas Krause:
Efficiently Learning Fourier Sparse Set Functions. NeurIPS 2019: 15094-15103
[c5]
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  - conf/soda/KapralovVZ19
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Michael Kapralov, Ameya Velingker, Amir Zandieh:
Dimension-independent Sparse Fourier Transform. SODA 2019: 2709-2728
[c4]
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  - conf/stoc/AvronKMMVZ19
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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]
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  - journals/corr/abs-1902-10633
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Michael Kapralov, Ameya Velingker, Amir Zandieh:
Dimension-independent Sparse Fourier Transform. CoRR abs/1902.10633 (2019)
[i6]
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  - journals/corr/abs-1909-01410
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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]
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  - journals/corr/abs-1804-09893
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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]
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  - journals/corr/abs-1812-08723
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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]
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  - conf/icml/AvronKMMVZ17
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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]
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  dblp key:
  - conf/stoc/CevherKSZ17
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Volkan Cevher, Michael Kapralov, Jonathan Scarlett, Amir Zandieh:
An adaptive sublinear-time block sparse fourier transform. STOC 2017: 702-715
[i2]
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  - journals/corr/CevherKSZ17
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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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