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likelihood function

11 papers

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Co-occurring keywords · papers mentioning both

bayesian inference (4) bayesian network (3) posterior distribution (3) prior distribution (2) maximum likelihood (2) expectation maximization (2) parameter estimation (2) mental representations (1) graphical model (1) gaussian mixture model (1)

Papers

Bayesian Causal Discovery Networks for Linear Mixed Data CLeaR 2026 Latent Logic Tree Extraction for Event Sequence Explanation from LLMs ICML 2024 Parameter Estimation in DAGs from Incomplete Data via Optimal Transport ICML 2024 Adding Constraints to Bayesian Inverse Problems AAAI 2019 Fisher Efficient Inference of Intractable Models NeurIPS 2019 A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018 Conditional Probability Estimation PGM 2016 Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NeurIPS 2016 A Framework for Testing Identifiability of Bayesian Models of Perception NeurIPS 2014 Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NeurIPS 2012 Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005