Fast and Near-Optimal Algorithms for Approximating Distributions by Histograms

Author:

Acharya Jayadev1,Diakonikolas Ilias2,Hegde Chinmay1,Li Jerry Zheng1,Schmidt Ludwig1

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, MA, USA

2. University of Edinburgh, Edinburgh, UNK, United Kingdom

Funder

Marie Curie CIG

NSF

SICSA

DOE

EPSRC

MIT-Shell Energy Initiative

Publisher

ACM

Cited by 19 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. Testing Closeness of Multivariate Distributions via Ramsey Theory;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

2. PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression;Proceedings of the VLDB Endowment;2024-02

3. Design and Analysis of a Digital Media Course Case Study in an Art University;2023 13th International Conference on Information Technology in Medicine and Education (ITME);2023-11-24

4. On distributed data aggregation and the precision of approximate histograms;Journal of Parallel and Distributed Computing;2023-10

5. Query cost estimation in graph databases via emphasizing query dependencies by using a neural reasoning network;Concurrency and Computation: Practice and Experience;2023-05-26

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