Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1407.0381
Cited By
Minimax rates of entropy estimation on large alphabets via best polynomial approximation
1 July 2014
Yihong Wu
Pengkun Yang
Re-assign community
ArXiv
PDF
HTML
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
Monica Welfert
Nathan Stromberg
Mario Díaz
Lalitha Sankar
AAML
37
0
0
13 May 2025
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
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
18
3
0
12 Mar 2024
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
Sivaraman Balakrishnan
Edward H. Kennedy
Larry A. Wasserman
35
11
0
06 May 2023
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
g
g
-modeling beat
f
f
f
-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
J. Chhor
Rajarshi Mukherjee
Subhabrata Sen
42
5
0
15 Nov 2022
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
Chao Ma
Lexing Ying
13
2
0
17 Aug 2022
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
C. Canonne
Ilias Diakonikolas
D. Kane
Sihan Liu
20
3
0
14 Jul 2022
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
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
Thomas B. Berrett
R. Samworth
37
7
0
17 May 2022
Efficient Bayesian network structure learning via local Markov boundary search
Ming Gao
Bryon Aragam
54
17
0
12 Oct 2021
Sparse Uniformity Testing
B. Bhattacharya
Rajarshi Mukherjee
33
3
0
22 Sep 2021
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
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
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
Stefano Favaro
Zacharie Naulet
13
9
0
07 Apr 2021
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
Yuval Shalev
Amichai Painsky
I. Ben-Gal
34
8
0
21 Dec 2020
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
R
\mathbb{R}
R
Jasper C. H. Lee
Paul Valiant
14
3
0
17 Nov 2020
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
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
Lijie Chen
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
33
29
0
21 Sep 2020
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
A. Goldenshluger
O. Lepski
29
6
0
25 Aug 2020
Testing Determinantal Point Processes
Khashayar Gatmiry
Maryam Aliakbarpour
Stefanie Jegelka
39
1
0
09 Aug 2020
On Distribution Testing in the Conditional Sampling Model
Shyam Narayanan
28
8
0
20 Jul 2020
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
Wei Cao
Alex Dytso
Michael Fauss
H. Vincent Poor
G. Feng
13
4
0
07 May 2020
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
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
Nima Anari
Moses Charikar
Kirankumar Shiragur
Aaron Sidford
11
11
0
06 Apr 2020
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
Puning Zhao
Lifeng Lai
19
20
0
26 Feb 2020
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
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
17
43
0
09 Jan 2020
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
Ramya Korlakai Vinayak
Weihao Kong
Sham Kakade
15
3
0
28 Nov 2019
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
Yi Hao
A. Orlitsky
19
19
0
08 Nov 2019
Obfuscation via Information Density Estimation
Hsiang Hsu
S. Asoodeh
Flavio du Pin Calmon
23
12
0
17 Oct 2019
Differentially private anonymized histograms
A. Suresh
PICV
24
22
0
08 Oct 2019
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
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
R. She
Shanyun Liu
Shuo Wan
Ke Xiong
Pingyi Fan
16
12
0
05 Jul 2019
1
2
3
Next