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expectation-maximization algorithm

23 papers

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expectation maximization (255) latent variable model (564) gaussian mixture model (389) mixture model (262) probabilistic graphical model (226) latent variable (541) local convergence (14) mixture of linear regression (9) expectation-maximization (6) em algorithm (71)

Papers

Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels AAAI 2025
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations NIPS 2024
Shuffled Deep Regression AAAI 2024
Poor-Supervised Evaluation for SuperLLM via Mutual Consistency ACL 2024
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024
Personalized Federated Learning under Mixture of Distributions ICML 2023
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023
Sharp analysis of EM for learning mixtures of pairwise differences COLT 2023
Adversarial Option-Aware Hierarchical Imitation Learning ICML 2021
Keep CALM and Improve Visual Feature Attribution ICCV 2021
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression AISTATS 2021
Row-clustering of a Point Process-valued Matrix NIPS 2021
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits ICML 2020
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation L4DC 2020
Fast Automatic Smoothing for Generalized Additive Models JMLR 2019
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations JMLR 2017
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NIPS 2013
Graphlet decomposition of a weighted network AISTATS 2012
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NIPS 2012
Demixed Principal Component Analysis NIPS 2011
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010
Fast Large-scale Mixture Modeling with Component-specific Data Partitions NIPS 2010