Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBibTeX records: Amir Zandieh
@article{DBLP:journals/corr/abs-2402-06082,
author = {Amir Zandieh and
Insu Han and
Vahab Mirrokni and
Amin Karbasi},
title = {SubGen: Token Generation in Sublinear Time and Memory},
journal = {CoRR},
volume = {abs/2402.06082},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2402.06082},
doi = {10.48550/ARXIV.2402.06082},
eprinttype = {arXiv},
eprint = {2402.06082},
timestamp = {Fri, 16 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2402-06082.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/ZandiehHDK23,
author = {Amir Zandieh and
Insu Han and
Majid Daliri and
Amin Karbasi},
editor = {Andreas Krause and
Emma Brunskill and
Kyunghyun Cho and
Barbara Engelhardt and
Sivan Sabato and
Jonathan Scarlett},
title = {KDEformer: Accelerating Transformers via Kernel Density Estimation},
booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
2023, Honolulu, Hawaii, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {202},
pages = {40605--40623},
publisher = {{PMLR}},
year = {2023},
url = {https://proceedings.mlr.press/v202/zandieh23a.html},
timestamp = {Mon, 28 Aug 2023 17:23:08 +0200},
biburl = {https://dblp.org/rec/conf/icml/ZandiehHDK23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/ZandiehHA23,
author = {Amir Zandieh and
Insu Han and
Haim Avron},
editor = {Alice Oh and
Tristan Naumann and
Amir Globerson and
Kate Saenko and
Moritz Hardt and
Sergey Levine},
title = {Near Optimal Reconstruction of Spherical Harmonic Expansions},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference
on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans,
LA, USA, December 10 - 16, 2023},
year = {2023},
url = {http://papers.nips.cc/paper\_files/paper/2023/hash/4b719e74623f4fa238ded71b56f0a184-Abstract-Conference.html},
timestamp = {Fri, 01 Mar 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/ZandiehHA23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/soda/BringmannKMNYZ23,
author = {Karl Bringmann and
Michael Kapralov and
Mikhail Makarov and
Vasileios Nakos and
Amir Yagudin and
Amir Zandieh},
editor = {Nikhil Bansal and
Viswanath Nagarajan},
title = {Traversing the {FFT} Computation Tree for Dimension-Independent Sparse
Fourier Transforms},
booktitle = {Proceedings of the 2023 {ACM-SIAM} Symposium on Discrete Algorithms,
{SODA} 2023, Florence, Italy, January 22-25, 2023},
pages = {4768--4845},
publisher = {{SIAM}},
year = {2023},
url = {https://doi.org/10.1137/1.9781611977554.ch177},
doi = {10.1137/1.9781611977554.CH177},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/soda/BringmannKMNYZ23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-02451,
author = {Amir Zandieh and
Insu Han and
Majid Daliri and
Amin Karbasi},
title = {KDEformer: Accelerating Transformers via Kernel Density Estimation},
journal = {CoRR},
volume = {abs/2302.02451},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2302.02451},
doi = {10.48550/ARXIV.2302.02451},
eprinttype = {arXiv},
eprint = {2302.02451},
timestamp = {Fri, 10 Feb 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2302-02451.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2310-05869,
author = {Insu Han and
Rajesh Jayaram and
Amin Karbasi and
Vahab Mirrokni and
David P. Woodruff and
Amir Zandieh},
title = {HyperAttention: Long-context Attention in Near-Linear Time},
journal = {CoRR},
volume = {abs/2310.05869},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2310.05869},
doi = {10.48550/ARXIV.2310.05869},
eprinttype = {arXiv},
eprint = {2310.05869},
timestamp = {Tue, 24 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2310-05869.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HanZA22,
author = {Insu Han and
Amir Zandieh and
Haim Avron},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {Random Gegenbauer Features for Scalable Kernel Methods},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {8330--8358},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/han22g.html},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/HanZA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WoodruffZ22,
author = {David P. Woodruff and
Amir Zandieh},
editor = {Kamalika Chaudhuri and
Stefanie Jegelka and
Le Song and
Csaba Szepesv{\'{a}}ri and
Gang Niu and
Sivan Sabato},
title = {Leverage Score Sampling for Tensor Product Matrices in Input Sparsity
Time},
booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
2022, Baltimore, Maryland, {USA}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {23933--23964},
publisher = {{PMLR}},
year = {2022},
url = {https://proceedings.mlr.press/v162/woodruff22a.html},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/WoodruffZ22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/HanZLNXK22,
author = {Insu Han and
Amir Zandieh and
Jaehoon Lee and
Roman Novak and
Lechao Xiao and
Amin Karbasi},
editor = {Sanmi Koyejo and
S. Mohamed and
A. Agarwal and
Danielle Belgrave and
K. Cho and
A. Oh},
title = {Fast Neural Kernel Embeddings for General Activations},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference
on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans,
LA, USA, November 28 - December 9, 2022},
year = {2022},
url = {http://papers.nips.cc/paper\_files/paper/2022/hash/e7be1f4c6212c24919cd743512477c13-Abstract-Conference.html},
timestamp = {Sat, 10 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/HanZLNXK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-03474,
author = {Insu Han and
Amir Zandieh and
Haim Avron},
title = {Random Gegenbauer Features for Scalable Kernel Methods},
journal = {CoRR},
volume = {abs/2202.03474},
year = {2022},
url = {https://arxiv.org/abs/2202.03474},
eprinttype = {arXiv},
eprint = {2202.03474},
timestamp = {Wed, 09 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-03474.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-04515,
author = {David P. Woodruff and
Amir Zandieh},
title = {Leverage Score Sampling for Tensor Product Matrices in Input Sparsity
Time},
journal = {CoRR},
volume = {abs/2202.04515},
year = {2022},
url = {https://arxiv.org/abs/2202.04515},
eprinttype = {arXiv},
eprint = {2202.04515},
timestamp = {Fri, 18 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-04515.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-12995,
author = {Amir Zandieh and
Insu Han and
Haim Avron},
title = {Near Optimal Reconstruction of Spherical Harmonic Expansions},
journal = {CoRR},
volume = {abs/2202.12995},
year = {2022},
url = {https://arxiv.org/abs/2202.12995},
eprinttype = {arXiv},
eprint = {2202.12995},
timestamp = {Wed, 02 Mar 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-12995.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2209-04121,
author = {Insu Han and
Amir Zandieh and
Jaehoon Lee and
Roman Novak and
Lechao Xiao and
Amin Karbasi},
title = {Fast Neural Kernel Embeddings for General Activations},
journal = {CoRR},
volume = {abs/2209.04121},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2209.04121},
doi = {10.48550/ARXIV.2209.04121},
eprinttype = {arXiv},
eprint = {2209.04121},
timestamp = {Tue, 27 Sep 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2209-04121.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/ZandiehHASKS21,
author = {Amir Zandieh and
Insu Han and
Haim Avron and
Neta Shoham and
Chaewon Kim and
Jinwoo Shin},
editor = {Marc'Aurelio Ranzato and
Alina Beygelzimer and
Yann N. Dauphin and
Percy Liang and
Jennifer Wortman Vaughan},
title = {Scaling Neural Tangent Kernels via Sketching and Random Features},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference
on Neural Information Processing Systems 2021, NeurIPS 2021, December
6-14, 2021, virtual},
pages = {1062--1073},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/08ae6a26b7cb089ea588e94aed36bd15-Abstract.html},
timestamp = {Tue, 03 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/nips/ZandiehHASKS21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2104-00415,
author = {Amir Zandieh},
title = {Learning with Neural Tangent Kernels in Near Input Sparsity Time},
journal = {CoRR},
volume = {abs/2104.00415},
year = {2021},
url = {https://arxiv.org/abs/2104.00415},
eprinttype = {arXiv},
eprint = {2104.00415},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2104-00415.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-07880,
author = {Amir Zandieh and
Insu Han and
Haim Avron and
Neta Shoham and
Chaewon Kim and
Jinwoo Shin},
title = {Scaling Neural Tangent Kernels via Sketching and Random Features},
journal = {CoRR},
volume = {abs/2106.07880},
year = {2021},
url = {https://arxiv.org/abs/2106.07880},
eprinttype = {arXiv},
eprint = {2106.07880},
timestamp = {Tue, 29 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-07880.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2107-07347,
author = {Karl Bringmann and
Michael Kapralov and
Mikhail Makarov and
Vasileios Nakos and
Amir Yagudin and
Amir Zandieh},
title = {Sparse Fourier Transform by traversing Cooley-Tukey {FFT} computation
graphs},
journal = {CoRR},
volume = {abs/2107.07347},
year = {2021},
url = {https://arxiv.org/abs/2107.07347},
eprinttype = {arXiv},
eprint = {2107.07347},
timestamp = {Wed, 21 Jul 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2107-07347.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@phdthesis{DBLP:phd/ch/Zandieh20,
author = {Amir Zandieh},
title = {Fourier Sampling in Signal Processing and Numerical Linear Algebra},
school = {EPFL, Switzerland},
year = {2020},
url = {https://doi.org/10.5075/epfl-thesis-7220},
doi = {10.5075/EPFL-THESIS-7220},
timestamp = {Tue, 02 Aug 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/phd/ch/Zandieh20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/ZandiehNVKR20,
author = {Amir Zandieh and
Navid Nouri and
Ameya Velingker and
Michael Kapralov and
Ilya P. Razenshteyn},
editor = {Silvia Chiappa and
Roberto Calandra},
title = {Scaling up Kernel Ridge Regression via Locality Sensitive Hashing},
booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
series = {Proceedings of Machine Learning Research},
volume = {108},
pages = {4088--4097},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v108/zandieh20a.html},
timestamp = {Mon, 29 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/ZandiehNVKR20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/WoodruffZ20,
author = {David P. Woodruff and
Amir Zandieh},
title = {Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling},
booktitle = {Proceedings of the 37th International Conference on Machine Learning,
{ICML} 2020, 13-18 July 2020, Virtual Event},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {10324--10333},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v119/woodruff20a.html},
timestamp = {Tue, 15 Dec 2020 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/WoodruffZ20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/soda/AhleKKPVWZ20,
author = {Thomas D. Ahle and
Michael Kapralov and
Jakob B{\ae}k Tejs Knudsen and
Rasmus Pagh and
Ameya Velingker and
David P. Woodruff and
Amir Zandieh},
editor = {Shuchi Chawla},
title = {Oblivious Sketching of High-Degree Polynomial Kernels},
booktitle = {Proceedings of the 2020 {ACM-SIAM} Symposium on Discrete Algorithms,
{SODA} 2020, Salt Lake City, UT, USA, January 5-8, 2020},
pages = {141--160},
publisher = {{SIAM}},
year = {2020},
url = {https://doi.org/10.1137/1.9781611975994.9},
doi = {10.1137/1.9781611975994.9},
timestamp = {Thu, 15 Jul 2021 13:48:53 +0200},
biburl = {https://dblp.org/rec/conf/soda/AhleKKPVWZ20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2003-09756,
author = {Michael Kapralov and
Navid Nouri and
Ilya P. Razenshteyn and
Ameya Velingker and
Amir Zandieh},
title = {Scaling up Kernel Ridge Regression via Locality Sensitive Hashing},
journal = {CoRR},
volume = {abs/2003.09756},
year = {2020},
url = {https://arxiv.org/abs/2003.09756},
eprinttype = {arXiv},
eprint = {2003.09756},
timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2003-09756.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2007-03927,
author = {David P. Woodruff and
Amir Zandieh},
title = {Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling},
journal = {CoRR},
volume = {abs/2007.03927},
year = {2020},
url = {https://arxiv.org/abs/2007.03927},
eprinttype = {arXiv},
eprint = {2007.03927},
timestamp = {Mon, 20 Jul 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2007-03927.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/AmrollahiZKK19,
author = {Andisheh Amrollahi and
Amir Zandieh and
Michael Kapralov and
Andreas Krause},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Efficiently Learning Fourier Sparse Set Functions},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {15094--15103},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/c77331e51c5555f8f935d3344c964bd5-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/AmrollahiZKK19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/soda/KapralovVZ19,
author = {Michael Kapralov and
Ameya Velingker and
Amir Zandieh},
editor = {Timothy M. Chan},
title = {Dimension-independent Sparse Fourier Transform},
booktitle = {Proceedings of the Thirtieth Annual {ACM-SIAM} Symposium on Discrete
Algorithms, {SODA} 2019, San Diego, California, USA, January 6-9,
2019},
pages = {2709--2728},
publisher = {{SIAM}},
year = {2019},
url = {https://doi.org/10.1137/1.9781611975482.168},
doi = {10.1137/1.9781611975482.168},
timestamp = {Thu, 15 Jul 2021 13:49:01 +0200},
biburl = {https://dblp.org/rec/conf/soda/KapralovVZ19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/stoc/AvronKMMVZ19,
author = {Haim Avron and
Michael Kapralov and
Cameron Musco and
Christopher Musco and
Ameya Velingker and
Amir Zandieh},
editor = {Moses Charikar and
Edith Cohen},
title = {A universal sampling method for reconstructing signals with simple
Fourier transforms},
booktitle = {Proceedings of the 51st Annual {ACM} {SIGACT} Symposium on Theory
of Computing, {STOC} 2019, Phoenix, AZ, USA, June 23-26, 2019},
pages = {1051--1063},
publisher = {{ACM}},
year = {2019},
url = {https://doi.org/10.1145/3313276.3316363},
doi = {10.1145/3313276.3316363},
timestamp = {Thu, 23 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/stoc/AvronKMMVZ19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1902-10633,
author = {Michael Kapralov and
Ameya Velingker and
Amir Zandieh},
title = {Dimension-independent Sparse Fourier Transform},
journal = {CoRR},
volume = {abs/1902.10633},
year = {2019},
url = {http://arxiv.org/abs/1902.10633},
eprinttype = {arXiv},
eprint = {1902.10633},
timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1902-10633.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1909-01410,
author = {Michael Kapralov and
Rasmus Pagh and
Ameya Velingker and
David P. Woodruff and
Amir Zandieh},
title = {Oblivious Sketching of High-Degree Polynomial Kernels},
journal = {CoRR},
volume = {abs/1909.01410},
year = {2019},
url = {http://arxiv.org/abs/1909.01410},
eprinttype = {arXiv},
eprint = {1909.01410},
timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1909-01410.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/Norouzi-FardTMZ18,
author = {Ashkan Norouzi{-}Fard and
Jakub Tarnawski and
Slobodan Mitrovic and
Amir Zandieh and
Aidasadat Mousavifar and
Ola Svensson},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Beyond 1/2-Approximation for Submodular Maximization on Massive Data
Streams},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {3826--3835},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/norouzi-fard18a.html},
timestamp = {Wed, 03 Apr 2019 18:17:30 +0200},
biburl = {https://dblp.org/rec/conf/icml/Norouzi-FardTMZ18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1804-09893,
author = {Haim Avron and
Michael Kapralov and
Cameron Musco and
Christopher Musco and
Ameya Velingker and
Amir Zandieh},
title = {Random Fourier Features for Kernel Ridge Regression: Approximation
Bounds and Statistical Guarantees},
journal = {CoRR},
volume = {abs/1804.09893},
year = {2018},
url = {http://arxiv.org/abs/1804.09893},
eprinttype = {arXiv},
eprint = {1804.09893},
timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1804-09893.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1808-01842,
author = {Ashkan Norouzi{-}Fard and
Jakub Tarnawski and
Slobodan Mitrovic and
Amir Zandieh and
Aida Mousavifar and
Ola Svensson},
title = {Beyond 1/2-Approximation for Submodular Maximization on Massive Data
Streams},
journal = {CoRR},
volume = {abs/1808.01842},
year = {2018},
url = {http://arxiv.org/abs/1808.01842},
eprinttype = {arXiv},
eprint = {1808.01842},
timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1808-01842.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1812-08723,
author = {Haim Avron and
Michael Kapralov and
Cameron Musco and
Christopher Musco and
Ameya Velingker and
Amir Zandieh},
title = {A Universal Sampling Method for Reconstructing Signals with Simple
Fourier Transforms},
journal = {CoRR},
volume = {abs/1812.08723},
year = {2018},
url = {http://arxiv.org/abs/1812.08723},
eprinttype = {arXiv},
eprint = {1812.08723},
timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1812-08723.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/AvronKMMVZ17,
author = {Haim Avron and
Michael Kapralov and
Cameron Musco and
Christopher Musco and
Ameya Velingker and
Amir Zandieh},
editor = {Doina Precup and
Yee Whye Teh},
title = {Random Fourier Features for Kernel Ridge Regression: Approximation
Bounds and Statistical Guarantees},
booktitle = {Proceedings of the 34th International Conference on Machine Learning,
{ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
series = {Proceedings of Machine Learning Research},
volume = {70},
pages = {253--262},
publisher = {{PMLR}},
year = {2017},
url = {http://proceedings.mlr.press/v70/avron17a.html},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/icml/AvronKMMVZ17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/stoc/CevherKSZ17,
author = {Volkan Cevher and
Michael Kapralov and
Jonathan Scarlett and
Amir Zandieh},
editor = {Hamed Hatami and
Pierre McKenzie and
Valerie King},
title = {An adaptive sublinear-time block sparse fourier transform},
booktitle = {Proceedings of the 49th Annual {ACM} {SIGACT} Symposium on Theory
of Computing, {STOC} 2017, Montreal, QC, Canada, June 19-23, 2017},
pages = {702--715},
publisher = {{ACM}},
year = {2017},
url = {https://doi.org/10.1145/3055399.3055462},
doi = {10.1145/3055399.3055462},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/stoc/CevherKSZ17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/CevherKSZ17,
author = {Volkan Cevher and
Michael Kapralov and
Jonathan Scarlett and
Amir Zandieh},
title = {An Adaptive Sublinear-Time Block Sparse Fourier Transform},
journal = {CoRR},
volume = {abs/1702.01286},
year = {2017},
url = {http://arxiv.org/abs/1702.01286},
eprinttype = {arXiv},
eprint = {1702.01286},
timestamp = {Sat, 23 Jan 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/CevherKSZ17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/ZandiehZAM14,
author = {Amir Zandieh and
Alireza Zareian and
Masoumeh Azghani and
Farokh Marvasti},
title = {Reconstruction of Sub-Nyquist Random Sampling for Sparse and Multi-Band
Signals},
journal = {CoRR},
volume = {abs/1411.6587},
year = {2014},
url = {http://arxiv.org/abs/1411.6587},
eprinttype = {arXiv},
eprint = {1411.6587},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/ZandiehZAM14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-04-25 02:34 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
