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1802.01751
Cited By
Near-Optimal Coresets of Kernel Density Estimates
6 February 2018
J. M. Phillips
W. Tai
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Papers citing
"Near-Optimal Coresets of Kernel Density Estimates"
33 / 33 papers shown
Title
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BalanceKV: KV Cache Compression through Discrepancy Theory
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Michael Kapralov
Ekaterina Kochetkova
Kshiteej Sheth
A. Zandieh
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11 Feb 2025
Efficiently Computing Similarities to Private Datasets
A. Backurs
Zinan Lin
S. Mahabadi
Sandeep Silwal
Jakub Tarnawski
68
4
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13 Mar 2024
No Dimensional Sampling Coresets for Classification
M. Alishahi
Jeff M. Phillips
34
1
0
07 Feb 2024
Stronger Coreset Bounds for Kernel Density Estimators via Chaining
Rainie Bozzai
T. Rothvoss
11
0
0
12 Oct 2023
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
Tal Wagner
Yonatan Naamad
Nina Mishra
19
7
0
04 Jul 2023
For Kernel Range Spaces a Constant Number of Queries Are Sufficient
J. Phillips
H. Pourmahmood-Aghababa
12
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0
28 Jun 2023
Differentially Private Synthetic Data Using KD-Trees
Eleonora Kreacic
Navid Nouri
Vamsi K. Potluru
T. Balch
Manuela Veloso
SyDa
17
2
0
19 Jun 2023
Dimensionality Reduction for General KDE Mode Finding
Xinyu Luo
Christopher Musco
C. Widdershoven
14
2
0
30 May 2023
Deep Active Learning in the Presence of Label Noise: A Survey
Moseli Motsóehli
Kyungim Baek
NoLa
VLM
34
5
0
22 Feb 2023
Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation
Ainesh Bakshi
Piotr Indyk
Praneeth Kacham
Sandeep Silwal
Samson Zhou
33
4
0
01 Dec 2022
Learnware: Small Models Do Big
Zhi-Hua Zhou
Zhi-Hao Tan
31
22
0
07 Oct 2022
Algorithms for Discrepancy, Matchings, and Approximations: Fast, Simple, and Practical
Mónika Csikós
Nabil H. Mustafa
17
0
0
02 Sep 2022
Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory
Jiehao Liang
Zhao-quan Song
Zhaozhuo Xu
Junze Yin
Danyang Zhuo
OOD
26
4
0
08 Aug 2022
Towards Optimal Lower Bounds for k-median and k-means Coresets
Vincent Cohen-Addad
Kasper Green Larsen
David Saulpic
Chris Schwiegelshohn
17
50
0
25 Feb 2022
Distribution Compression in Near-linear Time
Abhishek Shetty
Raaz Dwivedi
Lester W. Mackey
19
17
0
15 Nov 2021
Introduction to Coresets: Approximated Mean
Alaa Maalouf
Ibrahim Jubran
Dan Feldman
19
6
0
04 Nov 2021
Generalized Kernel Thinning
Raaz Dwivedi
Lester W. Mackey
36
29
0
04 Oct 2021
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
Matti Karppa
Martin Aumüller
Rasmus Pagh
30
8
0
06 Jul 2021
A Few Interactions Improve Distributed Nonparametric Estimation, Optimally
Jingbo Liu
23
3
0
01 Jul 2021
Coresets for Classification -- Simplified and Strengthened
Tung Mai
Anup B. Rao
Cameron Musco
16
33
0
08 Jun 2021
Kernel Thinning
Raaz Dwivedi
Lester W. Mackey
26
37
0
12 May 2021
Density Sketches for Sampling and Estimation
Aditya Desai
Benjamin Coleman
Anshumali Shrivastava
9
1
0
24 Feb 2021
Faster Kernel Matrix Algebra via Density Estimation
A. Backurs
Piotr Indyk
Cameron Musco
Tal Wagner
38
7
0
16 Feb 2021
Efficient Interpolation of Density Estimators
Paxton Turner
Jingbo Liu
Philippe Rigollet
12
3
0
10 Nov 2020
A Statistical Perspective on Coreset Density Estimation
Paxton Turner
Jingbo Liu
Philippe Rigollet
18
10
0
10 Nov 2020
Optimal Coreset for Gaussian Kernel Density Estimation
W. Tai
17
9
0
15 Jul 2020
Understanding collections of related datasets using dependent MMD coresets
Sinead Williamson
Jette Henderson
9
5
0
24 Jun 2020
Faster PAC Learning and Smaller Coresets via Smoothed Analysis
Alaa Maalouf
Ibrahim Jubran
M. Tukan
Dan Feldman
26
6
0
09 Jun 2020
Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data
Benjamin Coleman
Anshumali Shrivastava
11
31
0
04 Dec 2019
Discrepancy, Coresets, and Sketches in Machine Learning
Zohar S. Karnin
Edo Liberty
13
47
0
11 Jun 2019
Coresets for Minimum Enclosing Balls over Sliding Windows
Yanhao Wang
Yuchen Li
K. Tan
16
14
0
09 May 2019
Wasserstein Measure Coresets
Sebastian Claici
Aude Genevay
Justin Solomon
21
13
0
18 May 2018
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