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
Overspecified Mixture Discriminant Analysis: Exponential Convergence, Statistical Guarantees, and Remote Sensing Applications Arman Bolatov Alan Legg Igor Melnykov Amantay Nurlanuly Maxat Tezekbayev Z. Assylbekov 54 0 0 30 Oct 2025
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps Do Tien Hai T. T. N. Mai T. Nguyen Nhat Ho Binh T. Nguyen Christopher Drovandi 92 0 0 14 Oct 2025
Users as Annotators: LLM Preference Learning from Comparison Mode Zhongze Cai Xiaocheng Li 55 0 0 10 Oct 2025
AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play Ran Xu Yuchen Zhuang Zihan Dong Jonathan Wang Yue Yu Joyce C. Ho Linjun Zhang Haoyu Wang W. Shi Carl Yang RALM ReLM KELM LRM 88 2 0 29 Sep 2025
Provable Mixed-Noise Learning with Flow-Matching Paul Hagemann Robert Gruhlke Bernhard Stankewitz Claudia Schillings Gabriele Steidl 111 1 0 25 Aug 2025
Neural Network Training via Stochastic Alternating Minimization with Trainable Step Sizes Chengcheng Yan Jiawei Xu Zheng Peng Qingsong Wang 82 0 0 06 Aug 2025
When and How Unlabeled Data Provably Improve In-Context Learning Yingcong Li Xiangyu Chang Muti Kara Xiaofeng Liu Amit K. Roy-Chowdhury Samet Oymak 185 1 0 18 Jun 2025
Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm Z. Assylbekov Alan Legg Artur Pak 144 0 0 13 Jun 2025
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data Linshanshan Wang Mengyan Li Zongqi Xia Molei Liu Tianxi Cai 211 1 0 27 May 2025
LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations Harsh Vardhan Heng Zhu A. Ghosh A. Mazumdar 172 0 0 23 May 2025
Self-Reinforced Graph Contrastive Learning Chou-Ying Hsieh Chun-Fu Jang Cheng-En Hsieh Qian-Hui Chen Sy-Yen Kuo 178 0 0 19 May 2025
Learning and Generalization with Mixture DataInternational Symposium on Information Theory (ISIT), 2025 Harsh Vardhan A. Ghosh A. Mazumdar FedML 194 1 0 29 Apr 2025
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior Yury Polyanskiy Mark Sellke 173 1 0 26 Mar 2025
Learning a Class of Mixed Linear Regressions: Global Convergence under General Data Conditions Yujing Liu Zhixin Liu Lei Guo 198 0 0 24 Mar 2025
Seal Your Backdoor with Variational Defense Ivan Sabolić Matej Grcić Sinisa Segvic AAML 1.0K 1 0 11 Mar 2025
Variance-Aware Linear UCB with Deep Representation for Neural Contextual BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 H. Bui Enrique Mallada Anqi Liu 966 3 0 08 Nov 2024
Factor Adjusted Spectral Clustering for Mixture Models Shange Tang Soham Jana Jianqing Fan 254 2 0 22 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 231 0 0 11 Aug 2024
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 283 0 0 19 Jul 2024
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models Weihang Xu Maryam Fazel S. Du 346 7 0 29 Jun 2024
Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model V. Karagulyan M. Ndaoud 159 2 0 18 Jun 2024
Prototypical Transformer as Unified Motion Learners Cheng Han Yawen Lu Guohao Sun James Liang Zhiwen Cao ... S. Dianat Raghuveer M. Rao Tong Geng Zhiqiang Tao Dongfang Liu ViT 262 8 0 03 Jun 2024
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms A. Ghosh Arya Mazumdar FedML 211 0 0 03 Jun 2024
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals Ilia Azizi M. Boldi V. Chavez-Demoulin 500 1 0 28 May 2024
Learning Diffusion Priors from Observations by Expectation MaximizationNeural Information Processing Systems (NeurIPS), 2024 Sacha Lewin Gérome Andry F. Lanusse Gilles Louppe DiffM 289 38 0 22 May 2024
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities Rocco Caprio Juan Kuntz Samuel Power A. M. Johansen 378 13 0 04 Mar 2024
Structurally Aware Robust Model Selection for Mixtures Jiawei Li Jonathan H. Huggins 183 0 0 01 Mar 2024
Learning Cyclic Causal Models from Incomplete Data Muralikrishnna G. Sethuraman Faramarz Fekri OOD CML 152 1 0 23 Feb 2024
Mixture-Models: a one-stop Python Library for Model-based Clustering using various Mixture Models Siva Rajesh Kasa Yijie Hu Santhosh Kumar Kasa Vaibhav Rajan VLM 126 1 0 08 Feb 2024
Active Learning for Graphs with Noisy Structures Hongliang Chi Cong Qi Suhang Wang Yao Ma 210 3 0 04 Feb 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient DescentIEEE Transactions on Signal Processing (IEEE TSP), 2024 Zhiyu Liu Zhi Han Yandong Tang Xi-Le Zhao Yao Wang 380 9 0 22 Jan 2024
Big Learning Expectation Maximization Yulai Cong Sijia Li 119 4 0 19 Dec 2023
Can semi-supervised learning use all the data effectively? A lower bound perspectiveNeural Information Processing Systems (NeurIPS), 2023 Alexandru cTifrea Gizem Yüce Amartya Sanyal Fanny Yang 235 5 0 30 Nov 2023
Global Convergence of Online Identification for Mixed Linear Regression Yujing Liu Zhixin Liu Lei Guo 167 2 0 30 Nov 2023
Semidefinite programming on population clustering: a local analysis Shuheng Zhou 220 0 0 23 Nov 2023
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM AlgorithmsInternational Conference on Machine Learning (ICML), 2023 Ye Tian Haolei Weng Yang Feng 216 7 0 23 Oct 2023
Optimal Estimator for Linear Regression with Shuffled Labels Hang Zhang Ping Li 126 1 0 02 Oct 2023
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of ExpertsInternational Conference on Learning Representations (ICLR), 2023 Huy Nguyen Pedram Akbarian Fanqi Yan Nhat Ho MoE 263 23 0 25 Sep 2023
Consistency of Lloyd's Algorithm Under Perturbations Dhruv Patel Hui Shen S. Bhamidi Yufeng Liu V. Pipiras 171 3 0 01 Sep 2023
EM for Mixture of Linear Regression with Clustered DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Amirhossein Reisizadeh Khashayar Gatmiry Asuman Ozdaglar FedML 103 1 0 22 Aug 2023
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression modelJournal of machine learning research (JMLR), 2023 Ning Wang Xin Zhang Qing Mai 165 4 0 21 Jul 2023
Learning Mixtures of Gaussians Using the DDPM ObjectiveNeural Information Processing Systems (NeurIPS), 2023 Kulin Shah Sitan Chen Adam R. Klivans DiffM 253 50 0 03 Jul 2023
Adversarially robust clustering with optimality guaranteesIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023 Soham Jana Kun Yang Sanjeev R. Kulkarni AAML 245 3 0 16 Jun 2023
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing DiffusionsAnnual Conference Computational Learning Theory (COLT), 2023 Yilong Qin Andrej Risteski DiffM 285 2 0 15 Jun 2023
Off-policy Evaluation in Doubly Inhomogeneous EnvironmentsJournal of the American Statistical Association (JASA), 2023 Zeyu Bian C. Shi Zhengling Qi Lan Wang OffRL 233 10 0 14 Jun 2023
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian ModelsInternational Conference on Machine Learning (ICML), 2023 Alexander Lin Bahareh Tolooshams Yves Atchadé Demba E. Ba 143 1 0 05 Jun 2023
High-dimensional Response Growth Curve Modeling for Longitudinal Neuroimaging AnalysisComputational Statistics & Data Analysis (CSDA), 2023 Lu Wang Xiang Lyu Zhengwu Zhang Lexin Li 88 1 0 25 May 2023
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin BettingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Louis Sharrock Daniel Dodd Christopher Nemeth 198 10 0 24 May 2023
On the robust learning mixtures of linear regressions Ying-Min Huang Liang Chen OOD 118 0 0 23 May 2023
Demystifying Softmax Gating Function in Gaussian Mixture of ExpertsNeural Information Processing Systems (NeurIPS), 2023 Huy Nguyen TrungTin Nguyen Nhat Ho 192 32 0 05 May 2023