expectation maximization

254 papers

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Also known as

EM ECM

Co-occurring keywords

latent variable model (564) em algorithm (71) variational inference (2069) parameter estimation (274) gaussian mixture model (388) mixture model (262) latent variable (541) probabilistic modeling (851) probabilistic model (476) maximum likelihood (255)

Papers

Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint) AAAI 2026

Tractable Sharpness-Aware Learning of Probabilistic Circuits AAAI 2026

Detecting Training Data of Large Language Models via Expectation Maximization EACL 2026

PQR: Improving Dense Retrieval via Potential Query Modeling ACL 2025

Seal Your Backdoor with Variational Defense ICCV 2025

Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EM CVPR 2025

Learning Separable Fine-Grained Representation via Dendrogram Construction from Coarse Labels for Fine-grained Visual Recognition ICCV 2025

EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models NIPS 2024

Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation AISTATS 2024

Fast Diffusion EM: A Diffusion Model for Blind Inverse Problems With Application to Deconvolution WACV 2024

Big Learning Expectation Maximization AAAI 2024

Learning Diffusion Priors from Observations by Expectation Maximization NIPS 2024

Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024

On Unbiased Estimation for Partially Observed Diffusions JMLR 2024

Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024

EM for Mixture of Linear Regression with Clustered Data AISTATS 2024

Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models NIPS 2024

Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024

SPO: Sequential Monte Carlo Policy Optimisation NIPS 2024

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models NIPS 2024

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NIPS 2024

EM Distillation for One-step Diffusion Models NIPS 2024

Transductive Zero-Shot and Few-Shot CLIP CVPR 2024

GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023

Mixed Regression via Approximate Message Passing JMLR 2023