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Optimal estimation of Gaussian mixtures via denoised method of moments

19 July 2018

Pengkun Yang

Papers citing "Optimal estimation of Gaussian mixtures via denoised method of moments"

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Title
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures Gen Li Changxiao Cai Yuting Wei DiffM 75 1 0 07 Apr 2025
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior Yury Polyanskiy Mark Sellke 84 1 0 26 Mar 2025
How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion Giannis Daras Yeshwanth Cherapanamjeri Constantinos Daskalakis DiffM 101 9 0 05 Nov 2024
Sharper Bounds for Chebyshev Moment Matching, with Applications Cameron Musco Christopher Musco Lucas Rosenblatt A. Singh FedML 92 1 0 22 Aug 2024
Smoothed NPMLEs in nonparametric Poisson mixtures and beyond Keunwoo Lim Fang Han OT 47 1 0 13 Jun 2024
Gaussian mixtures closest to a given measure via optimal transport Jean-Bernard Lasserre OT 65 0 0 30 Apr 2024
A Fourier Approach to the Parameter Estimation Problem for One-dimensional Gaussian Mixture Models Xinyu Liu Hai Zhang 27 0 0 19 Apr 2024
On the best approximation by finite Gaussian mixtures Yun Ma Yihong Wu Pengkun Yang 93 1 0 13 Apr 2024
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms Keru Wu Yuansi Chen Wooseok Ha Ting Yu CML 83 2 0 19 Sep 2023
Entropic characterization of optimal rates for learning Gaussian mixtures Zeyu Jia Yury Polyanskiy Yihong Wu 85 5 0 21 Jun 2023
Learning Mixtures of Gaussians with Censored Data W. Tai Bryon Aragam 45 1 0 06 May 2023
Demystifying Softmax Gating Function in Gaussian Mixture of Experts Huy Nguyen TrungTin Nguyen Nhat Ho 95 26 0 05 May 2023
Minimum $Φ$ -distance estimators for finite mixing measures Yun-Chun Wei Sayan Mukherjee X. Nguyen 82 0 0 20 Apr 2023
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models Dat Do Huy Nguyen Khai Nguyen Nhat Ho 53 4 0 27 Jan 2023
Sketch-and-solve approaches to k-means clustering by semidefinite programming Charles Clum D. Mixon Soledad Villar Kaiying Xie 35 1 0 28 Nov 2022
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
Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition Yifan Zhang Joe Kileel 68 3 0 25 Oct 2022
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets Edo Cohen-Karlik Itamar Menuhin-Gruman Raja Giryes Nadav Cohen Amir Globerson 88 5 0 25 Oct 2022
Tractable Optimality in Episodic Latent MABs Jeongyeol Kwon Yonathan Efroni Constantine Caramanis Shie Mannor 112 3 0 05 Oct 2022
Efficient Algorithms for Sparse Moment Problems without Separation Zhiyuan Fan Jun Yu Li 54 7 0 26 Jul 2022
Estimation and inference for the Wasserstein distance between mixing measures in topic models Xin Bing F. Bunea Jonathan Niles-Weed 97 4 0 26 Jun 2022
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models Yihan Zhang Nir Weinberger 43 0 0 06 Jun 2022
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures Bryon Aragam W. Tai 87 3 0 28 Mar 2022
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models Tudor Manole Nhat Ho 62 22 0 17 Feb 2022
Optimal Estimation and Computational Limit of Low-rank Gaussian Mixtures Zhongyuan Lyu Dong Xia 64 9 0 22 Jan 2022
Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance Fang Han Zhen Miao Yandi Shen OT 90 7 0 04 Dec 2021
Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood Jake A. Soloff Adityanand Guntuboyina B. Sen 81 21 0 08 Sep 2021
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians Sami Davies A. Mazumdar S. Pal Cyrus Rashtchian 77 11 0 02 Sep 2021
Uniform Consistency in Nonparametric Mixture Models Bryon Aragam Ruiyi Yang 79 6 0 31 Aug 2021
Robust Estimation in Finite Mixture Models Alexandre Lecestre OOD 25 2 0 01 Jul 2021
Estimating Gaussian mixtures using sparse polynomial moment systems J. Lindberg Carlos Améndola J. Rodriguez 56 9 0 29 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 58 9 0 06 Jun 2021
Robust Model Selection and Nearly-Proper Learning for GMMs Jungshian Li Allen Liu Ankur Moitra 69 3 0 05 Jun 2021
Jointly Modeling and Clustering Tensors in High Dimensions Biao Cai Jingfei Zhang W. Sun 44 5 0 15 Apr 2021
The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures Nir Weinberger Guy Bresler FedML 62 6 0 29 Mar 2021
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit Rungang Han Yuetian Luo Miaoyan Wang Anru R. Zhang 122 40 0 18 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 159 173 0 15 Dec 2020
Minimax bounds for estimating multivariate Gaussian location mixtures Arlene K. H. Kim Adityanand Guntuboyina 50 9 0 01 Dec 2020
Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments Cheng Mao Yihong Wu 49 7 0 14 Sep 2020
On the High Accuracy Limitation of Adaptive Property Estimation Yanjun Han 61 5 0 27 Aug 2020
Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models Yury Polyanskiy Yihong Wu 79 29 0 19 Aug 2020
Optimal Bayesian estimation of Gaussian mixtures with growing number of components Ilsang Ohn Lizhen Lin 67 18 0 17 Jul 2020
Uniform Convergence Rates for Maximum Likelihood Estimation under Two-Component Gaussian Mixture Models Tudor Manole Nhat Ho 33 6 0 01 Jun 2020
Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure Tudor Manole Abbas Khalili 69 20 0 24 May 2020
Flexible co-data learning for high-dimensional prediction M. V. van Nee L. Wessels M. A. van de Wiel OOD 46 16 0 08 May 2020
Convergence of de Finetti's mixing measure in latent structure models for observed exchangeable sequences Yun-Chun Wei X. Nguyen 62 10 0 12 Apr 2020
On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood Yanjun Han Kirankumar Shiragur 68 2 0 07 Apr 2020
Optimal estimation of high-dimensional location Gaussian mixtures Natalie Doss Yihong Wu Pengkun Yang Harrison H. Zhou 78 22 0 14 Feb 2020
$Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations$ Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in $O(\sqrt{n})$ iterations Yihong Wu Harrison H. Zhou 278 43 0 28 Aug 2019
Moment Identifiability of Homoscedastic Gaussian Mixtures Daniele Agostini Carlos Améndola Kristian Ranestad 33 7 0 13 May 2019