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Local moment matching: A unified methodology for symmetric functional
  estimation and distribution estimation under Wasserstein distance
v1v2 (latest)

Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance

23 February 2018
Yanjun Han
Jiantao Jiao
Tsachy Weissman
ArXiv (abs)PDFHTML

Papers citing "Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance"

20 / 20 papers shown
Title
Testing Support Size More Efficiently Than Learning Histograms
Testing Support Size More Efficiently Than Learning Histograms
Renato Ferreira Pinto Jr.
Nathaniel Harms
99
1
0
24 Oct 2024
Density Descent for Diversity Optimization
Density Descent for Diversity Optimization
David H. Lee
Anishalakshmi V. Palaparthi
Matthew C. Fontaine
Bryon Tjanaka
Stefanos Nikolaidis
57
1
0
18 Dec 2023
Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in
  theory (and in practice)?
Empirical Bayes estimation: When does ggg-modeling beat fff-modeling in theory (and in practice)?
Yandi Shen
Yihong Wu
56
5
0
23 Nov 2022
On the Efficient Implementation of High Accuracy Optimality of Profile
  Maximum Likelihood
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood
Moses Charikar
Zhihao Jiang
Kirankumar Shiragur
Aaron Sidford
58
0
0
13 Oct 2022
Instance Based Approximations to Profile Maximum Likelihood
Instance Based Approximations to Profile Maximum Likelihood
Nima Anari
Moses Charikar
Kirankumar Shiragur
Aaron Sidford
53
9
0
05 Nov 2020
On the High Accuracy Limitation of Adaptive Property Estimation
On the High Accuracy Limitation of Adaptive Property Estimation
Yanjun Han
61
5
0
27 Aug 2020
Support Estimation with Sampling Artifacts and Errors
Support Estimation with Sampling Artifacts and Errors
Eli Chien
O. Milenkovic
A. Nedich
16
5
0
14 Jun 2020
Extrapolating the profile of a finite population
Extrapolating the profile of a finite population
Soham Jana
Yury Polyanskiy
Yihong Wu
38
6
0
21 May 2020
On the Competitive Analysis and High Accuracy Optimality of Profile
  Maximum Likelihood
On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood
Yanjun Han
Kirankumar Shiragur
68
2
0
07 Apr 2020
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications
  for Profile Maximum Likelihood
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood
Nima Anari
Moses Charikar
Kirankumar Shiragur
Aaron Sidford
41
12
0
06 Apr 2020
A General Framework for Symmetric Property Estimation
A General Framework for Symmetric Property Estimation
Moses Charikar
Kirankumar Shiragur
Aaron Sidford
64
9
0
02 Mar 2020
Profile Entropy: A Fundamental Measure for the Learnability and
  Compressibility of Discrete Distributions
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
Yi Hao
A. Orlitsky
41
11
0
26 Feb 2020
Optimal Estimation of Change in a Population of Parameters
Optimal Estimation of Change in a Population of Parameters
Ramya Korlakai Vinayak
Weihao Kong
Sham Kakade
53
3
0
28 Nov 2019
Unified Sample-Optimal Property Estimation in Near-Linear Time
Unified Sample-Optimal Property Estimation in Near-Linear Time
Yi Hao
A. Orlitsky
85
19
0
08 Nov 2019
The Broad Optimality of Profile Maximum Likelihood
The Broad Optimality of Profile Maximum Likelihood
Yi Hao
A. Orlitsky
71
29
0
10 Jun 2019
Efficient Profile Maximum Likelihood for Universal Symmetric Property
  Estimation
Efficient Profile Maximum Likelihood for Universal Symmetric Property Estimation
Moses Charikar
Kirankumar Shiragur
Aaron Sidford
44
29
0
21 May 2019
Data Amplification: A Unified and Competitive Approach to Property
  Estimation
Data Amplification: A Unified and Competitive Approach to Property Estimation
Yi Hao
A. Orlitsky
A. Suresh
Yihong Wu
88
30
0
29 Mar 2019
2-Wasserstein Approximation via Restricted Convex Potentials with
  Application to Improved Training for GANs
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
Amirhossein Taghvaei
Amin Jalali
81
44
0
19 Feb 2019
Maximum Likelihood Estimation for Learning Populations of Parameters
Maximum Likelihood Estimation for Learning Populations of Parameters
Ramya Korlakai Vinayak
Weihao Kong
Gregory Valiant
Sham Kakade
45
29
0
12 Feb 2019
Regularized Weighted Chebyshev Approximations for Support Estimation
Regularized Weighted Chebyshev Approximations for Support Estimation
I
Eli Chien
O. Milenkovic
21
2
0
22 Jan 2019
1