Sharp Estimates on Random Hyperplane Tessellations-Reference-Cited by-同舟云学术

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Sharp Estimates on Random Hyperplane Tessellations

Published:2022-12-20 Issue:4 Volume:4 Page:1396-1419
ISSN:2577-0187
Container-title:SIAM Journal on Mathematics of Data Science
language:en
Short-container-title:SIAM Journal on Mathematics of Data Science

Author:

Dirksen Sjoerd¹,Mendelson Shahar²,Stollenwerk Alexander³

Affiliation:

1. Mathematical Institute, Utrecht University, Utrecht, The Netherlands.

2. Department of Statistics, University of Warwick, Coventry, United Kingdom, and The Australian National University, Centre for Mathematics and its Applications, Canberra, Australia.

3. UCLouvain, ICTEAM Institute, Ottignies-Louvain-la-Neuve, Belgium.

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

General Medicine

Reference7 articles.

1. Math. Surveys Monogr. 202;Artstein-Avidan S.,2015

2. Concentration Inequalities

3. Tail bounds via generic chaining

4. Non-Gaussian hyperplane tessellations and robust one-bit compressed sensing

5. Dvoretzky Type Theorems for Subgaussian Coordinate Projections

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing;IEEE Transactions on Information Theory;2024-09

2. Fast Metric Embedding into the Hamming Cube;SIAM Journal on Computing;2024-03-14

3. Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery;IEEE Transactions on Information Theory;2023

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