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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
Leveraging Importance Weights in Subset Selection
Leveraging Importance Weights in Subset SelectionInternational Conference on Learning Representations (ICLR), 2023
Gui Citovsky
Giulia DeSalvo
Sanjiv Kumar
Srikumar Ramalingam
Afshin Rostamizadeh
Yunjuan Wang
197
6
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
287
32
0
30 Nov 2021
Positively Weighted Kernel Quadrature via Subsampling
Positively Weighted Kernel Quadrature via SubsamplingNeural Information Processing Systems (NeurIPS), 2021
Satoshi Hayakawa
Harald Oberhauser
Terry Lyons
539
29
0
20 Jul 2021
A Few Interactions Improve Distributed Nonparametric Estimation,
  Optimally
A Few Interactions Improve Distributed Nonparametric Estimation, OptimallyIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Jingbo Liu
507
3
0
01 Jul 2021
PSD Representations for Effective Probability Models
PSD Representations for Effective Probability ModelsNeural Information Processing Systems (NeurIPS), 2021
Alessandro Rudi
C. Ciliberto
TPM
394
24
0
30 Jun 2021
Kernel Thinning
Kernel ThinningAnnual Conference Computational Learning Theory (COLT), 2021
Raaz Dwivedi
Lester W. Mackey
983
47
0
12 May 2021
Skeleton Clustering: Dimension-Free Density-based Clustering
Skeleton Clustering: Dimension-Free Density-based ClusteringJournal of the American Statistical Association (JASA), 2021
Zeyu Wei
Yen-Chi Chen
288
5
0
21 Apr 2021
1
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