Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1504.01227
Cited By
v1
v2 (latest)
Chebyshev polynomials, moment matching, and optimal estimation of the unseen
6 April 2015
Yihong Wu
Pengkun Yang
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Chebyshev polynomials, moment matching, and optimal estimation of the unseen"
28 / 28 papers shown
Title
Testing Support Size More Efficiently Than Learning Histograms
Renato Ferreira Pinto Jr.
Nathaniel Harms
102
1
0
24 Oct 2024
Sharper Bounds for Chebyshev Moment Matching, with Applications
Cameron Musco
Christopher Musco
Lucas Rosenblatt
A. Singh
FedML
92
1
0
22 Aug 2024
How Much is Unseen Depends Chiefly on Information About the Seen
Seongmin Lee
Marcel Böhme
68
1
0
08 Feb 2024
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
Superpolynomial Lower Bounds for Decision Tree Learning and Testing
Caleb M. Koch
Carmen Strassle
Li-Yang Tan
91
8
0
12 Oct 2022
Near-Optimal Bounds for Testing Histogram Distributions
C. Canonne
Ilias Diakonikolas
D. Kane
Sihan Liu
64
3
0
14 Jul 2022
Quantifying Spatial Under-reporting Disparities in Resident Crowdsourcing
Zhi Liu
Uma Bhandaram
Nikhil Garg
65
10
0
19 Apr 2022
The Price of Tolerance in Distribution Testing
C. Canonne
Ayush Jain
Gautam Kamath
Jingkai Li
81
14
0
25 Jun 2021
Minimax Off-Policy Evaluation for Multi-Armed Bandits
Cong Ma
Banghua Zhu
Jiantao Jiao
Martin J. Wainwright
OffRL
74
10
0
19 Jan 2021
VC Dimension and Distribution-Free Sample-Based Testing
Eric Blais
Renato Ferreira Pinto
Nathaniel Harms
61
13
0
07 Dec 2020
Instance Based Approximations to Profile Maximum Likelihood
Nima Anari
Moses Charikar
Kirankumar Shiragur
Aaron Sidford
58
9
0
05 Nov 2020
On Distributed Differential Privacy and Counting Distinct Elements
Lijie Chen
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
103
32
0
21 Sep 2020
Testing Determinantal Point Processes
Khashayar Gatmiry
Maryam Aliakbarpour
Stefanie Jegelka
69
1
0
09 Aug 2020
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
Testing Properties of Multiple Distributions with Few Samples
Maryam Aliakbarpour
Sandeep Silwal
37
3
0
17 Nov 2019
Estimation of Wasserstein distances in the Spiked Transport Model
Jonathan Niles-Weed
Philippe Rigollet
87
103
0
16 Sep 2019
The Broad Optimality of Profile Maximum Likelihood
Yi Hao
A. Orlitsky
71
29
0
10 Jun 2019
Data Amplification: A Unified and Competitive Approach to Property Estimation
Yi Hao
A. Orlitsky
A. Suresh
Yihong Wu
93
30
0
29 Mar 2019
Minimax Optimal Additive Functional Estimation with Discrete Distribution
Kazuto Fukuchi
Jun Sakuma
57
1
0
28 Nov 2018
Estimating minimum effect with outlier selection
Alexandra Carpentier
S. Delattre
Étienne Roquain
Nicolas Verzélen
81
9
0
21 Sep 2018
Optimal estimation of Gaussian mixtures via denoised method of moments
Yihong Wu
Pengkun Yang
134
78
0
19 Jul 2018
On estimation of nonsmooth functionals of sparse normal means
O. Collier
L. Comminges
Alexandre B. Tsybakov
36
13
0
28 May 2018
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance
Yanjun Han
Jiantao Jiao
Tsachy Weissman
83
41
0
23 Feb 2018
Approximate Profile Maximum Likelihood
Dmitri S. Pavlichin
Jiantao Jiao
Tsachy Weissman
63
49
0
19 Dec 2017
Optimal rates of entropy estimation over Lipschitz balls
Yanjun Han
Jiantao Jiao
Tsachy Weissman
Yihong Wu
114
73
0
06 Nov 2017
Minimax Estimation of the
L
1
L_1
L
1
Distance
Jiantao Jiao
Yanjun Han
Tsachy Weissman
138
49
0
02 May 2017
Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions
Kazuto Fukuchi
Jun Sakuma
50
9
0
23 Jan 2017
Maximum Likelihood Estimation of Functionals of Discrete Distributions
Jiantao Jiao
K. Venkat
Yanjun Han
Tsachy Weissman
143
102
0
26 Jun 2014
1