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1609.02655
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Singularity structures and impacts on parameter estimation in finite mixtures of distributions
9 September 2016
Nhat Ho
X. Nguyen
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Papers citing
"Singularity structures and impacts on parameter estimation in finite mixtures of distributions"
19 / 19 papers shown
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
Tuan Thai
TrungTin Nguyen
Dat Do
Nhat Ho
Christopher Drovandi
612
4
0
19 May 2025
On the Optimal Regret of Locally Private Linear Contextual Bandit
Jiachun Li
David Simchi-Levi
Yining Wang
235
2
0
15 Apr 2024
Bayesian Model Selection via Mean-Field Variational Approximation
Yangfan Zhang
Yun Yang
289
12
0
17 Dec 2023
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Huy Nguyen
TrungTin Nguyen
Khai Nguyen
Nhat Ho
MoE
398
24
0
12 May 2023
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
Neural Information Processing Systems (NeurIPS), 2023
Dat Do
Huy Nguyen
Khai Nguyen
Nhat Ho
223
5
0
27 Jan 2023
Strong identifiability and parameter learning in regression with heterogeneous response
Electronic Journal of Statistics (EJS), 2022
Dat Do
Linh Do
X. Nguyen
396
8
0
08 Dec 2022
Beyond Black Box Densities: Parameter Learning for the Deviated Components
Neural Information Processing Systems (NeurIPS), 2022
Dat Do
Nhat Ho
X. Nguyen
362
2
0
05 Feb 2022
Uniform Consistency in Nonparametric Mixture Models
Annals of Statistics (Ann. Stat.), 2021
Bryon Aragam
Ruiyi Yang
429
6
0
31 Aug 2021
Uniform Convergence Rates for Maximum Likelihood Estimation under Two-Component Gaussian Mixture Models
Tudor Manole
Nhat Ho
219
7
0
01 Jun 2020
Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure
Tudor Manole
Abbas Khalili
246
24
0
24 May 2020
Convergence of de Finetti's mixing measure in latent structure models for observed exchangeable sequences
Annals of Statistics (Ann. Stat.), 2020
Yun-Chun Wei
X. Nguyen
297
10
0
12 Apr 2020
A Diffusion Process Perspective on Posterior Contraction Rates for Parameters
SIAM Journal on Mathematics of Data Science (SIMODS), 2019
Wenlong Mou
Nhat Ho
Martin J. Wainwright
Peter L. Bartlett
Sai Li
287
16
0
03 Sep 2019
Convergence Rates for Gaussian Mixtures of Experts
Journal of machine learning research (JMLR), 2019
Nhat Ho
Chiao-Yu Yang
Sai Li
362
53
0
09 Jul 2019
Test for homogeneity with unordered paired observations
Electronic Journal of Statistics (EJS), 2019
Jiahua Chen
Pengfei Li
J. Qin
Tao Yu
109
3
0
04 May 2019
Learning rates for Gaussian mixtures under group invariance
Victor-Emmanuel Brunel
195
0
0
28 Feb 2019
Sample Complexity of Nonparametric Semi-Supervised Learning
Chen Dan
Liu Leqi
Bryon Aragam
Pradeep Ravikumar
Eric Xing
187
0
0
10 Sep 2018
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
Bryon Aragam
Chen Dan
Eric Xing
Pradeep Ravikumar
413
35
0
12 Feb 2018
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions
Yining Wang
325
7
0
30 Oct 2017
Robust estimation of mixing measures in finite mixture models
Nhat Ho
X. Nguyen
Yaácov Ritov
340
9
0
23 Sep 2017
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