MARCEDES: Score-based causal discovery under non-Gaussianity with continuous optimization

arXiv:2609.30643 · stat.ML, cs.LG, stat.CO, stat.ME · Submitted 2026-09-25 · Read on arXiv

stat.ML, cs.LG, stat.CO, stat.ME

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Sparsity — 25× in this paper · explained in 4 episodes
• Adam — 12× in this paper · explained in 2 episodes
• Causal Discovery — 9× in this paper · explained in 2 episodes
• Non-Gaussianity — 9× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Score Function — 5× in this paper · explained in 4 episodes
• Adjacency Matrix — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Alternating Minimization — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• True Positive Rate — 1× in this paper

Sources

• Consistent DAG selection for Bayesian causal discovery under general error distributions
• Consistent Bayesian causal discovery for structural equation models with equal error variances
• Adam: A Method for Stochastic Optimization
• Gradient-Based Neural DAG Learning

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