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 / 156 papers shown

Title
Learning and Generalization with Mixture Data Harsh Vardhan A. Ghosh A. Mazumdar FedML 38 0 0 29 Apr 2025
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior Yury Polyanskiy Mark Sellke 56 0 0 26 Mar 2025
Learning a Class of Mixed Linear Regressions: Global Convergence under General Data Conditions Yujing Liu Zhixin Liu Lei Guo 39 0 0 24 Mar 2025
Seal Your Backdoor with Variational Defense Ivan Sabolić Matej Grcić Sinisa Segvic AAML 62 0 0 11 Mar 2025
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits H. Bui Enrique Mallada Anqi Liu 61 0 0 08 Nov 2024
Factor Adjusted Spectral Clustering for Mixture Models Shange Tang Soham Jana Jianqing Fan 27 0 0 22 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 25 0 0 11 Aug 2024
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 24 0 0 19 Jul 2024
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models Weihang Xu Maryam Fazel Simon S. Du 23 0 0 29 Jun 2024
Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model V. Karagulyan M. Ndaoud 38 0 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 29 2 0 03 Jun 2024
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms A. Ghosh Arya Mazumdar FedML 20 0 0 03 Jun 2024
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals Ilia Azizi M. Boldi V. Chavez-Demoulin 82 0 0 28 May 2024
Learning Diffusion Priors from Observations by Expectation Maximization François Rozet Gérome Andry F. Lanusse Gilles Louppe DiffM 38 15 0 22 May 2024
Structurally Aware Robust Model Selection for Mixtures Jiawei Li Jonathan H. Huggins 21 0 0 01 Mar 2024
Learning Cyclic Causal Models from Incomplete Data Muralikrishnna G. Sethuraman Faramarz Fekri OOD CML 21 0 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 10 0 0 08 Feb 2024
Active Learning for Graphs with Noisy Structures Hongliang Chi Cong Qi Suhang Wang Yao Ma 25 3 0 04 Feb 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent Zhiyu Liu Zhi-Long Han Yandong Tang Xi-Le Zhao Yao Wang 27 1 0 22 Jan 2024
Big Learning Expectation Maximization Yulai Cong Sijia Li 25 1 0 19 Dec 2023
Can semi-supervised learning use all the data effectively? A lower bound perspective Alexandru cTifrea Gizem Yüce Amartya Sanyal Fanny Yang 24 3 0 30 Nov 2023
Global Convergence of Online Identification for Mixed Linear Regression Yujing Liu Zhixin Liu Lei Guo 10 2 0 30 Nov 2023
Semidefinite programming on population clustering: a local analysis Shuheng Zhou 30 0 0 23 Nov 2023
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms Ye Tian Haolei Weng Yang Feng 11 3 0 23 Oct 2023
Optimal Estimator for Linear Regression with Shuffled Labels Hang Zhang Ping Li 15 1 0 02 Oct 2023
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts Huy Nguyen Pedram Akbarian Fanqi Yan Nhat Ho MoE 31 16 0 25 Sep 2023
Consistency of Lloyd's Algorithm Under Perturbations Dhruv Patel Hui Shen S. Bhamidi Yufeng Liu V. Pipiras 20 2 0 01 Sep 2023
EM for Mixture of Linear Regression with Clustered Data Amirhossein Reisizadeh Khashayar Gatmiry Asuman Ozdaglar FedML 11 1 0 22 Aug 2023
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model Ning Wang Xin Zhang Qing Mai 8 1 0 21 Jul 2023
Learning Mixtures of Gaussians Using the DDPM Objective Kulin Shah Sitan Chen Adam R. Klivans DiffM 21 37 0 03 Jul 2023
Adversarially robust clustering with optimality guarantees Soham Jana Kun Yang Sanjeev R. Kulkarni AAML 11 2 0 16 Jun 2023
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions Yilong Qin Andrej Risteski DiffM 11 2 0 15 Jun 2023
Off-policy Evaluation in Doubly Inhomogeneous Environments Zeyu Bian C. Shi Zhengling Qi Lan Wang OffRL 16 3 0 14 Jun 2023
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models Alexander Lin Bahareh Tolooshams Yves Atchadé Demba E. Ba 16 1 0 05 Jun 2023
High-dimensional Response Growth Curve Modeling for Longitudinal Neuroimaging Analysis Lu Wang Xiang Lyu Zhengwu Zhang Lexin Li 8 1 0 25 May 2023
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting Louis Sharrock Daniel Dodd Christopher Nemeth 14 6 0 24 May 2023
On the robust learning mixtures of linear regressions Ying-Min Huang Liang Chen OOD 11 0 0 23 May 2023
Demystifying Softmax Gating Function in Gaussian Mixture of Experts Huy Nguyen TrungTin Nguyen Nhat Ho 17 21 0 05 May 2023
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning Tengyao Wang Edgar Dobriban M. Gataric R. Samworth 12 1 0 18 Apr 2023
Mixed Regression via Approximate Message Passing Nelvin Tan R. Venkataramanan 11 7 0 05 Apr 2023
Learning Personalized Models with Clustered System Identification Leonardo F. Toso Hang Wang James Anderson 16 9 0 03 Apr 2023
Asymptotic convergence of iterative optimization algorithms Randal Douc Sylvain Le Corff 4 0 0 24 Feb 2023
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting Tianli Guo AI4TS 22 0 0 22 Feb 2023
Sharp analysis of EM for learning mixtures of pairwise differences A. Dhawan Cheng Mao A. Pananjady 10 1 0 20 Feb 2023
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models Duc Nguyen A. Zhang 6 5 0 10 Feb 2023
Imbalanced Mixed Linear Regression Pini Zilber B. Nadler 13 5 0 29 Jan 2023
Semidefinite programming on population clustering: a global analysis Shuheng Zhou 13 1 0 01 Jan 2023
EM's Convergence in Gaussian Latent Tree Models Y. Dagan C. Daskalakis Anthimos Vardis Kandiros 17 2 0 21 Nov 2022
On the Semi-supervised Expectation Maximization Erixhen Sula Lizhong Zheng 17 1 0 01 Nov 2022
Prediction Sets for High-Dimensional Mixture of Experts Models Adel Javanmard S. Shao Jacob Bien 31 5 0 30 Oct 2022