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A Statistical Perspective on Coreset Density Estimation
v1v2 (latest)

A Statistical Perspective on Coreset Density Estimation

10 November 2020
Paxton Turner
Jingbo Liu
Philippe Rigollet
ArXiv (abs)PDFHTML

Papers citing "A Statistical Perspective on Coreset Density Estimation"

7 / 7 papers shown
Title
Leveraging Importance Weights in Subset Selection
Leveraging Importance Weights in Subset Selection
Gui Citovsky
Giulia DeSalvo
Sanjiv Kumar
Srikumar Ramalingam
Afshin Rostamizadeh
Yunjuan Wang
78
4
0
28 Jan 2023
Breaking the Linear Iteration Cost Barrier for Some Well-known
  Conditional Gradient Methods Using MaxIP Data-structures
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
Anshumali Shrivastava
Zhao Song
Zhaozhuo Xu
98
28
0
30 Nov 2021
Positively Weighted Kernel Quadrature via Subsampling
Positively Weighted Kernel Quadrature via Subsampling
Satoshi Hayakawa
Harald Oberhauser
Terry Lyons
105
26
0
20 Jul 2021
A Few Interactions Improve Distributed Nonparametric Estimation,
  Optimally
A Few Interactions Improve Distributed Nonparametric Estimation, Optimally
Jingbo Liu
84
3
0
01 Jul 2021
PSD Representations for Effective Probability Models
PSD Representations for Effective Probability Models
Alessandro Rudi
C. Ciliberto
TPM
83
22
0
30 Jun 2021
Kernel Thinning
Kernel Thinning
Raaz Dwivedi
Lester W. Mackey
195
39
0
12 May 2021
Skeleton Clustering: Dimension-Free Density-based Clustering
Skeleton Clustering: Dimension-Free Density-based Clustering
Zeyu Wei
Yen-Chi Chen
54
2
0
21 Apr 2021
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