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1604.00306
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$Parameter recovery in two-component contamination mixtures: the $\mathbb{L}^2$ strategy$

v1v2v3 (latest)

Parameter recovery in two-component contamination mixtures: the $\mathbb{L}^2$ strategy

1 April 2016

C. Maugis-Rabusseau

ArXiv (abs)PDF HTML

Papers citing "Parameter recovery in two-component contamination mixtures: the $\mathbb{L}^2$ strategy"

5 / 5 papers shown

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated
Models

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated ModelsNeural Information Processing Systems (NeurIPS), 2023

Huy Nguyen

228

5

0

27 Jan 2023

Beyond Black Box Densities: Parameter Learning for the Deviated
Components

Beyond Black Box Densities: Parameter Learning for the Deviated ComponentsNeural Information Processing Systems (NeurIPS), 2022

362

2

0

05 Feb 2022

Robust Estimation in Finite Mixture Models

Robust Estimation in Finite Mixture Models

Alexandre Lecestre

139

2

0

01 Jul 2021

SuperMix: Sparse Regularization for Mixtures

SuperMix: Sparse Regularization for Mixtures

Yohann De Castro

213

0

0

23 Jul 2019

Uniform estimation in stochastic block models is slow

Uniform estimation in stochastic block models is slow

354

2

0

09 Mar 2017

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