Introduces score-based causal discovery algorithms for latent variable models that achieve score equivalence and consistency while unifying some existing constraint-based approaches via degrees-of-freedom characterization.
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Extends Causal MaxEnt with interventional constraints to estimate joint interventional distributions from marginal interventional data via Lagrange duality and exponential family solutions.
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Score-Based Causal Discovery of Latent Variable Causal Models
Introduces score-based causal discovery algorithms for latent variable models that achieve score equivalence and consistency while unifying some existing constraint-based approaches via degrees-of-freedom characterization.
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Estimating Joint Interventional Distributions from Marginal Interventional Data
Extends Causal MaxEnt with interventional constraints to estimate joint interventional distributions from marginal interventional data via Lagrange duality and exponential family solutions.