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A Model for Learned Bloom Filters, and Optimizing by Sandwiching

A Model for Learned Bloom Filters, and Optimizing by Sandwiching

3 January 2019
Michael Mitzenmacher
ArXiv (abs)PDFHTML

Papers citing "A Model for Learned Bloom Filters, and Optimizing by Sandwiching"

12 / 62 papers shown
Title
The Price of Tailoring the Index to Your Data: Poisoning Attacks on
  Learned Index Structures
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures
Evgenios M. Kornaropoulos
Silei Ren
R. Tamassia
AAML
65
19
0
01 Aug 2020
Learning from Data to Speed-up Sorted Table Search Procedures:
  Methodology and Practical Guidelines
Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines
Domenico Amato
Giosuè Lo Bosco
Raffaele Giancarlo
19
0
0
20 Jul 2020
Frequency Estimation in Data Streams: Learning the Optimal Hashing
  Scheme
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme
Dimitris Bertsimas
V. Digalakis
54
5
0
17 Jul 2020
Online Page Migration with ML Advice
Online Page Migration with ML Advice
Piotr Indyk
Frederik Mallmann-Trenn
Slobodan Mitrović
R. Rubinfeld
OnRL
121
18
0
09 Jun 2020
Partitioned Learned Bloom Filter
Partitioned Learned Bloom Filter
Kapil Vaidya
Eric R. Knorr
Tim Kraska
Michael Mitzenmacher
62
32
0
05 Jun 2020
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
Shu-Fan Wang
Jian Li
Shiqiang Wang
32
10
0
13 Feb 2020
Learning-Based Low-Rank Approximations
Learning-Based Low-Rank Approximations
Piotr Indyk
A. Vakilian
Yang Yuan
94
69
0
30 Oct 2019
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the
  Classifier
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier
Zhenwei Dai
Anshumali Shrivastava
54
46
0
21 Oct 2019
The Supermarket Model with Known and Predicted Service Times
The Supermarket Model with Known and Predicted Service Times
Michael Mitzenmacher
Matteo DellÁmico
74
13
0
23 May 2019
Learned Indexes for Dynamic Workloads
Learned Indexes for Dynamic Workloads
Chuzhe Tang
Zhiyuan Dong
Minjie Wang
Zhaoguo Wang
Haibo Chen
26
9
0
02 Feb 2019
Learning Space Partitions for Nearest Neighbor Search
Learning Space Partitions for Nearest Neighbor Search
Yihe Dong
Piotr Indyk
Ilya P. Razenshteyn
Tal Wagner
86
12
0
24 Jan 2019
Competitive caching with machine learned advice
Competitive caching with machine learned advice
Thodoris Lykouris
Sergei Vassilvitskii
80
389
0
15 Feb 2018
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