Polynomial methods in statistical inference: theory and practice

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Polynomial methods in statistical inference: theory and practice

15 April 2021

Pengkun Yang

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Papers citing "Polynomial methods in statistical inference: theory and practice"

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Title
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training Kristjan Greenewald Yuancheng Yu Hao Wang Kai Xu 135 2 0 25 Oct 2024
Testing Support Size More Efficiently Than Learning Histograms Renato Ferreira Pinto Jr. Nathaniel Harms 102 1 0 24 Oct 2024
On the best approximation by finite Gaussian mixtures Yun Ma Yihong Wu Pengkun Yang 93 1 0 13 Apr 2024
Optimal heteroskedasticity testing in nonparametric regression Subhodh Kotekal Soumyabrata Kundu 24 0 0 19 Oct 2023
Entropic characterization of optimal rates for learning Gaussian mixtures Zeyu Jia Yury Polyanskiy Yihong Wu 85 5 0 21 Jun 2023
Empirical Bayes estimation: When does $g$ -modeling beat $f$ -modeling in theory (and in practice)? Yandi Shen Yihong Wu 56 5 0 23 Nov 2022
Sharp Concentration Inequalities for the Centered Relative Entropy Alankrita Bhatt Ankit Pensia 57 2 0 18 Sep 2021
The Price of Tolerance in Distribution Testing C. Canonne Ayush Jain Gautam Kamath Jingkai Li 81 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 63 9 0 06 Jun 2021
Consistent Density Estimation Under Discrete Mixture Models Luc Devroye Alex Dytso 21 0 0 03 May 2021