Regularized EM Algorithms: A Unified Framework and Statistical Guarantees

27 November 2015

Papers citing "Regularized EM Algorithms: A Unified Framework and Statistical Guarantees"

14 / 14 papers shown

Title
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm Xiudi Li Abolfazl Safikhani Ali Shojaie 38 2 0 14 Oct 2022
Selective inference for k-means clustering Yiqun T. Chen Daniela Witten 27 43 0 29 Mar 2022
Large-Sample Properties of Blind Estimation of the Linear Discriminant Using Projection Pursuit Una Radojicic K. Nordhausen Joni Virta 16 3 0 08 Mar 2021
Learning Graph Neural Networks with Approximate Gradient Descent Qunwei Li Shaofeng Zou Leon Wenliang Zhong GNN 32 1 0 07 Dec 2020
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression Linjun Zhang Rong Ma T. Tony Cai Hongzhe Li 44 12 0 06 Nov 2020
Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding Di Wang Xiangyu Guo Shi Li Jinhui Xu 23 3 0 19 Oct 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 29 86 0 16 May 2020
Statistical Convergence of the EM Algorithm on Gaussian Mixture Models Ruofei Zhao Yuanzhi Li Yuekai Sun 16 46 0 09 Oct 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 33 479 0 21 Dec 2017
On the Convergence of the EM Algorithm: A Data-Adaptive Analysis Chong Wu Can Yang Hongyu Zhao Ji Zhu 33 19 0 02 Nov 2016
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis W. Sun Lexin Li 27 92 0 15 Sep 2016
Fast Algorithms for Robust PCA via Gradient Descent Xinyang Yi Dohyung Park Yudong Chen C. Caramanis 24 265 0 25 May 2016
Statistical and Computational Guarantees for the Baum-Welch Algorithm Fanny Yang Sivaraman Balakrishnan Martin J. Wainwright 13 40 0 27 Dec 2015
Improved Graph Clustering Yudong Chen Sujay Sanghavi Huan Xu 94 191 0 11 Oct 2012