Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks

" constraints that represent the relationship between the continuous and binary indicator variables with second-order conic constraints. Our numerical results demonstrate the effectiveness of the proposed approaches.

math.OC cs.LG stat.ML Bayesian Modeling and Causal Inference Statistical Methods and Bayesian Inference Statistical Methods and Inference Computer Science Mathematics Medicine

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