ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1407.0381
  4. Cited By
Minimax rates of entropy estimation on large alphabets via best
  polynomial approximation

Minimax rates of entropy estimation on large alphabets via best polynomial approximation

1 July 2014
Yihong Wu
Pengkun Yang
ArXivPDFHTML

Papers citing "Minimax rates of entropy estimation on large alphabets via best polynomial approximation"

50 / 101 papers shown
Title
Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features
Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features
Monica Welfert
Nathan Stromberg
Mario Díaz
Lalitha Sankar
AAML
37
0
0
13 May 2025
Assessing Web Fingerprinting Risk
Assessing Web Fingerprinting Risk
Enrico Bacis
Igor Bilogrevic
R. Busa-Fekete
Asanka Herath
Antonio Sartori
Umar Syed
16
0
0
22 Mar 2024
Approaching Rate-Distortion Limits in Neural Compression with Lattice
  Transform Coding
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
18
3
0
12 Mar 2024
Maximal-Capacity Discrete Memoryless Channel Identification
Maximal-Capacity Discrete Memoryless Channel Identification
Maximilian Egger
Rawad Bitar
Antonia Wachter-Zeh
Deniz Gündüz
Nir Weinberger
13
0
0
18 Jan 2024
The Fundamental Limits of Structure-Agnostic Functional Estimation
The Fundamental Limits of Structure-Agnostic Functional Estimation
Sivaraman Balakrishnan
Edward H. Kennedy
Larry A. Wasserman
35
11
0
06 May 2023
SLM: End-to-end Feature Selection via Sparse Learnable Masks
SLM: End-to-end Feature Selection via Sparse Learnable Masks
Yihe Dong
Sercan O. Arik
32
3
0
06 Apr 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
15
4
0
23 Nov 2022
Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models:
  Sharp Minimax Rates
Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models: Sharp Minimax Rates
J. Chhor
Rajarshi Mukherjee
Subhabrata Sen
42
5
0
15 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
19
0
0
13 Oct 2022
Correcting Convexity Bias in Function and Functional Estimate
Correcting Convexity Bias in Function and Functional Estimate
Chao Ma
Lexing Ying
13
2
0
17 Aug 2022
Complexity of High-Dimensional Identity Testing with Coordinate
  Conditional Sampling
Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling
Antonio Blanca
Zongchen Chen
Daniel Stefankovic
Eric Vigoda
23
3
0
19 Jul 2022
Near-Optimal Bounds for Testing Histogram Distributions
Near-Optimal Bounds for Testing Histogram Distributions
C. Canonne
Ilias Diakonikolas
D. Kane
Sihan Liu
20
3
0
14 Jul 2022
Stability of Weighted Majority Voting under Estimated Weights
Stability of Weighted Majority Voting under Estimated Weights
Shaojie Bai
Dongxia Wang
Tim Muller
Peng Cheng
Jiming Chen
37
0
0
13 Jul 2022
Estimation of Entropy in Constant Space with Improved Sample Complexity
Estimation of Entropy in Constant Space with Improved Sample Complexity
Maryam Aliakbarpour
A. Mcgregor
Jelani Nelson
Erik Waingarten
36
8
0
19 May 2022
Optimal nonparametric testing of Missing Completely At Random, and its
  connections to compatibility
Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility
Thomas B. Berrett
R. Samworth
37
7
0
17 May 2022
Efficient Bayesian network structure learning via local Markov boundary
  search
Efficient Bayesian network structure learning via local Markov boundary search
Ming Gao
Bryon Aragam
54
17
0
12 Oct 2021
Sparse Uniformity Testing
Sparse Uniformity Testing
B. Bhattacharya
Rajarshi Mukherjee
33
3
0
22 Sep 2021
Locally differentially private estimation of nonlinear functionals of
  discrete distributions
Locally differentially private estimation of nonlinear functionals of discrete distributions
C. Butucea
Yann Issartel
28
3
0
08 Jul 2021
The Price of Tolerance in Distribution Testing
The Price of Tolerance in Distribution Testing
C. Canonne
Ayush Jain
Gautam Kamath
Jingkai Li
33
14
0
25 Jun 2021
Fisher-Pitman permutation tests based on nonparametric Poisson mixtures
  with application to single cell genomics
Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics
Zhen Miao
Weihao Kong
Ramya Korlakai Vinayak
Wei Sun
Fangzhu Han
36
8
0
06 Jun 2021
Near-optimal estimation of the unseen under regularly varying tail
  populations
Near-optimal estimation of the unseen under regularly varying tail populations
Stefano Favaro
Zacharie Naulet
13
9
0
07 Apr 2021
Minimax Off-Policy Evaluation for Multi-Armed Bandits
Minimax Off-Policy Evaluation for Multi-Armed Bandits
Cong Ma
Banghua Zhu
Jiantao Jiao
Martin J. Wainwright
OffRL
16
10
0
19 Jan 2021
Neural Joint Entropy Estimation
Neural Joint Entropy Estimation
Yuval Shalev
Amichai Painsky
I. Ben-Gal
34
8
0
21 Dec 2020
Fundamental Limits and Tradeoffs in Invariant Representation Learning
Fundamental Limits and Tradeoffs in Invariant Representation Learning
Han Zhao
Chen Dan
Bryon Aragam
Tommi Jaakkola
Geoffrey J. Gordon
Pradeep Ravikumar
FaML
38
43
0
19 Dec 2020
Optimal Sub-Gaussian Mean Estimation in $\mathbb{R}$
Optimal Sub-Gaussian Mean Estimation in R\mathbb{R}R
Jasper C. H. Lee
Paul Valiant
14
3
0
17 Nov 2020
Instance Based Approximations to Profile Maximum Likelihood
Instance Based Approximations to Profile Maximum Likelihood
Nima Anari
Moses Charikar
Kirankumar Shiragur
Aaron Sidford
15
9
0
05 Nov 2020
Maximum-Entropy Adversarial Data Augmentation for Improved
  Generalization and Robustness
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao
Ting Liu
Xi Peng
Dimitris N. Metaxas
OOD
AAML
27
165
0
15 Oct 2020
On Distributed Differential Privacy and Counting Distinct Elements
On Distributed Differential Privacy and Counting Distinct Elements
Lijie Chen
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
33
29
0
21 Sep 2020
On the High Accuracy Limitation of Adaptive Property Estimation
On the High Accuracy Limitation of Adaptive Property Estimation
Yanjun Han
16
5
0
27 Aug 2020
Minimax estimation of norms of a probability density: I. Lower bounds
Minimax estimation of norms of a probability density: I. Lower bounds
A. Goldenshluger
O. Lepski
29
6
0
25 Aug 2020
Testing Determinantal Point Processes
Testing Determinantal Point Processes
Khashayar Gatmiry
Maryam Aliakbarpour
Stefanie Jegelka
39
1
0
09 Aug 2020
On Distribution Testing in the Conditional Sampling Model
On Distribution Testing in the Conditional Sampling Model
Shyam Narayanan
28
8
0
20 Jul 2020
Learning Minimax Estimators via Online Learning
Learning Minimax Estimators via Online Learning
Kartik Gupta
A. Suggala
Adarsh Prasad
Praneeth Netrapalli
Pradeep Ravikumar
14
2
0
19 Jun 2020
Nonparametric Estimation of the Fisher Information and Its Applications
Nonparametric Estimation of the Fisher Information and Its Applications
Wei Cao
Alex Dytso
Michael Fauss
H. Vincent Poor
G. Feng
13
4
0
07 May 2020
Differentially Private Assouad, Fano, and Le Cam
Differentially Private Assouad, Fano, and Le Cam
Jayadev Acharya
Ziteng Sun
Huanyu Zhang
FedML
28
58
0
14 Apr 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
18
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
11
11
0
06 Apr 2020
A General Framework for Symmetric Property Estimation
A General Framework for Symmetric Property Estimation
Moses Charikar
Kirankumar Shiragur
Aaron Sidford
28
9
0
02 Mar 2020
Minimax Optimal Estimation of KL Divergence for Continuous Distributions
Minimax Optimal Estimation of KL Divergence for Continuous Distributions
Puning Zhao
Lifeng Lai
19
20
0
26 Feb 2020
To Split or Not to Split: The Impact of Disparate Treatment in
  Classification
To Split or Not to Split: The Impact of Disparate Treatment in Classification
Hao Wang
Hsiang Hsu
Mario Díaz
Flavio du Pin Calmon
15
23
0
12 Feb 2020
Minimax Optimal Conditional Independence Testing
Minimax Optimal Conditional Independence Testing
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
17
43
0
09 Jan 2020
Hierarchical Low-rank Structure of Parameterized Distributions
Hierarchical Low-rank Structure of Parameterized Distributions
Jun Qin
Lexing Ying
16
1
0
29 Nov 2019
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
15
3
0
28 Nov 2019
Estimating Entropy of Distributions in Constant Space
Estimating Entropy of Distributions in Constant Space
Jayadev Acharya
Sourbh Bhadane
Piotr Indyk
Ziteng Sun
20
11
0
18 Nov 2019
Unified Sample-Optimal Property Estimation in Near-Linear Time
Unified Sample-Optimal Property Estimation in Near-Linear Time
Yi Hao
A. Orlitsky
19
19
0
08 Nov 2019
Obfuscation via Information Density Estimation
Obfuscation via Information Density Estimation
Hsiang Hsu
S. Asoodeh
Flavio du Pin Calmon
23
12
0
17 Oct 2019
Differentially private anonymized histograms
Differentially private anonymized histograms
A. Suresh
PICV
24
22
0
08 Oct 2019
Minimax optimal estimators for general additive functional estimation
Minimax optimal estimators for general additive functional estimation
O. Collier
L. Comminges
14
3
0
29 Aug 2019
Towards Testing Monotonicity of Distributions Over General Posets
Towards Testing Monotonicity of Distributions Over General Posets
Maryam Aliakbarpour
Themis Gouleakis
John Peebles
R. Rubinfeld
Anak Yodpinyanee
28
8
0
06 Jul 2019
Importance of Small Probability Events in Big Data: Information
  Measures, Applications, and Challenges
Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges
R. She
Shanyun Liu
Shuo Wan
Ke Xiong
Pingyi Fan
16
12
0
05 Jul 2019
123
Next