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WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement
v1v2v3 (latest)

WOR and ppp's: Sketches for ℓp\ell_pℓp​-Sampling Without Replacement

Neural Information Processing Systems (NeurIPS), 2020
14 July 2020
E. Cohen
Rasmus Pagh
David P. Woodruff
ArXiv (abs)PDFHTML

Papers citing "WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement"

4 / 4 papers shown
Memory-Efficient Fine-Tuning via Low-Rank Activation Compression
Memory-Efficient Fine-Tuning via Low-Rank Activation Compression
Jiang-Xin Shi
Wen-Da Wei
Jin-Fei Qi
Xuanyu Chen
Tong Wei
Yu-Feng Li
176
0
0
27 Sep 2025
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of
  CountSketch to Adaptive Inputs
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive InputsAAAI Conference on Artificial Intelligence (AAAI), 2022
Edith Cohen
Jelani Nelson
Tamas Sarlos
Uri Stemmer
AAML
187
14
0
03 Jul 2022
On the Robustness of CountSketch to Adaptive Inputs
On the Robustness of CountSketch to Adaptive InputsInternational Conference on Machine Learning (ICML), 2022
E. Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
M. Shechner
Uri Stemmer
AAML
229
29
0
28 Feb 2022
Differentially Private Weighted Sampling
Differentially Private Weighted SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
E. Cohen
Ofir Geri
Tamás Sarlós
Uri Stemmer
403
6
0
25 Oct 2020
1
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