Statistical guarantees for the EM algorithm: From population to sample-based analysis

9 August 2014

Papers citing "Statistical guarantees for the EM algorithm: From population to sample-based analysis"

50 / 265 papers shown

Title
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learningJournal of the American Statistical Association (JASA), 2023 Tengyao Wang Guang Cheng M. Gataric R. Samworth 185 1 0 18 Apr 2023
Mixed Regression via Approximate Message PassingJournal of machine learning research (JMLR), 2023 Nelvin Tan R. Venkataramanan 254 7 0 05 Apr 2023
Learning Personalized Models with Clustered System IdentificationIEEE Conference on Decision and Control (CDC), 2023 Leonardo F. Toso Hang Wang James Anderson 237 14 0 03 Apr 2023
Asymptotic convergence of iterative optimization algorithms Randal Douc Sylvain Le Corff 100 0 0 24 Feb 2023
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting Tianli Guo AI4TS 139 1 0 22 Feb 2023
Sharp analysis of EM for learning mixtures of pairwise differencesAnnual Conference Computational Learning Theory (COLT), 2023 A. Dhawan Cheng Mao A. Pananjady 181 1 0 20 Feb 2023
Efficient and Accurate Learning of Mixtures of Plackett-Luce ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023 Duc Nguyen A. Zhang 185 7 0 10 Feb 2023
Imbalanced Mixed Linear RegressionNeural Information Processing Systems (NeurIPS), 2023 Pini Zilber B. Nadler 130 5 0 29 Jan 2023
Semidefinite programming on population clustering: a global analysis Shuheng Zhou 281 1 0 01 Jan 2023
EM's Convergence in Gaussian Latent Tree ModelsAnnual Conference Computational Learning Theory (COLT), 2022 Y. Dagan C. Daskalakis Anthimos Vardis Kandiros 217 3 0 21 Nov 2022
On the Semi-supervised Expectation Maximization Erixhen Sula Lizhong Zheng 139 1 0 01 Nov 2022
Prediction Sets for High-Dimensional Mixture of Experts Models Adel Javanmard S. Shao Jacob Bien 235 5 0 30 Oct 2022
Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor DecompositionSIAM Journal on Mathematics of Data Science (SIMODS), 2022 Yifan Zhang Joe Kileel 155 6 0 25 Oct 2022
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm Xiudi Li Abolfazl Safikhani Ali Shojaie 410 2 0 14 Oct 2022
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous DataInternational Conference on Machine Learning (ICML), 2022 Yubo Zhuang Xiaohui Chen Yun Yang 169 1 0 29 Sep 2022
Learning Consumer Preferences from Bundle Sales Data Yi Xiong Setareh Farajollahzadeh Guanli Wang FedML 20 3 0 11 Sep 2022
Geometry of EM and related iterative algorithmsInformation Geometry (IG), 2022 H. Hino S. Akaho Noboru Murata 161 9 0 03 Sep 2022
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpointIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 F. Desbouvries Y. Petetin Achille Salaün BDL 85 1 0 17 Aug 2022
Towards Understanding Mixture of Experts in Deep Learning Zixiang Chen Yihe Deng Yue-bo Wu Quanquan Gu Yuan-Fang Li MLT MoE 139 78 0 04 Aug 2022
Online Inference for Mixture Model of Streaming Graph Signals with Non-White ExcitationIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Yiran He Hoi-To Wai 198 4 0 28 Jul 2022
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data Wen-Hsuan Chu Chulin Xie Wei Ping Linyi Li Lang Yin Arash Nourian Hantong Zhao Yue Liu FedML 149 13 0 21 Jul 2022
Adversarial Sign-Corrupted Isotonic Regression Shamindra Shrotriya Matey Neykov 150 0 0 14 Jul 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model Zhongyuan Lyu Dong Xia 346 4 0 11 Jul 2022
Model Selection in Reinforcement Learning with General Function Approximations Avishek Ghosh Sayak Ray Chowdhury 106 3 0 06 Jul 2022
Unsupervised Crowdsourcing with Accuracy and Cost GuaranteesInternational Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2022 Yash Didwania Jayakrishnan Nair N. Hemachandra 98 1 0 05 Jul 2022
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite NetworksJournal of machine learning research (JMLR), 2022 Yunpeng Zhao Ning Hao Ji Zhu 185 5 0 16 Jun 2022
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture ModelsNeural Information Processing Systems (NeurIPS), 2022 Yihan Zhang Nir Weinberger 149 1 0 06 Jun 2022
On Learning Mixture of Linear Regressions in the Non-Realizable SettingInternational Conference on Machine Learning (ICML), 2022 Avishek Ghosh A. Mazumdar S. Pal Rajat Sen 190 11 0 26 May 2022
Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures Zhaolin Ren Fuheng Cui Sujay Sanghavi Nhat Ho 121 3 0 23 May 2022
An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models Nhat Ho Zhaolin Ren Sujay Sanghavi Purnamrita Sarkar Rachel A. Ward 126 3 0 16 May 2022
Sharper Utility Bounds for Differentially Private ModelsInternational Conference on Information and Knowledge Management (CIKM), 2022 Yilin Kang Yong Liu Jian Li Weiping Wang FedML 147 3 0 22 Apr 2022
Selective inference for k-means clusteringJournal of machine learning research (JMLR), 2022 Yiqun T. Chen Daniela Witten 165 59 0 29 Mar 2022
Tight Bounds on the Hardness of Learning Simple Nonparametric MixturesAnnual Conference Computational Learning Theory (COLT), 2022 Bryon Aragam W. Tai 355 3 0 28 Mar 2022
False membership rate control in mixture models Ariane Marandon Tabea Rebafka Étienne Roquain Nataliya Sokolovska 247 0 0 04 Mar 2022
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture ModelsInternational Conference on Machine Learning (ICML), 2022 Tudor Manole Nhat Ho 222 24 0 17 Feb 2022
Improving Computational Complexity in Statistical Models with Second-Order Information Zhaolin Ren Jiacheng Zhuo Sujay Sanghavi Nhat Ho 151 1 0 09 Feb 2022
Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features Pedro Valdeira Cláudia Soares J. Xavier FedML 132 2 0 24 Jan 2022
Optimal Estimation and Computational Limit of Low-rank Gaussian MixturesAnnals of Statistics (Ann. Stat.), 2022 Zhongyuan Lyu Dong Xia 178 11 0 22 Jan 2022
Matrix Completion with Hierarchical Graph Side InformationNeural Information Processing Systems (NeurIPS), 2022 Adel M. Elmahdy Junhyung Ahn Changho Suh S. Mohajer 190 15 0 02 Jan 2022
Time varying regression with hidden linear dynamicsConference on Learning for Dynamics & Control (L4DC), 2021 Ali Jadbabaie Horia Mania Devavrat Shah S. Sra OOD 179 5 0 29 Dec 2021
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector ProblemsConference on Uncertainty in Artificial Intelligence (UAI), 2021 C. J. Li Sai Li 178 2 0 29 Dec 2021
Learning Rates for Nonconvex Pairwise LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Shaojie Li Yong Liu 210 2 0 09 Nov 2021
AGGLIO: Global Optimization for Locally Convex Functions Debojyoti Dey B. Mukhoty Purushottam Kar 156 2 0 06 Nov 2021
Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent Zhaolin Ren Fuheng Cui Alexia Atsidakou Sujay Sanghavi Nhat Ho 104 8 0 15 Oct 2021
Uniform Consistency in Nonparametric Mixture ModelsAnnals of Statistics (Ann. Stat.), 2021 Bryon Aragam Ruiyi Yang 245 6 0 31 Aug 2021
Distribution free optimality intervals for clustering M. Meilă Hanyu Zhang OOD 169 0 0 30 Jul 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 262 14 0 19 Jul 2021
Model Selection for Generic Reinforcement Learning Avishek Ghosh Sayak Ray Chowdhury Kannan Ramchandran 158 1 0 13 Jul 2021
Sublinear Regret for Learning POMDPsProduction and operations management (POM), 2021 Yi Xiong Yi Xiong Ningyuan Chen Xiang Zhou 273 25 0 08 Jul 2021
Model Selection for Generic Contextual BanditsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021 Avishek Ghosh Abishek Sankararaman Kannan Ramchandran 232 7 0 07 Jul 2021