Search Results for author:
Found 4 papers, 1 papers with code
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
In second-order uncertain Bayesian networks, the conditional probabilities are only known within distributions, i. e., probabilities over probabilities.
Aggregating Probabilistic Judgments
In this paper we explore the application of methods for classical judgment aggregation in pooling probabilistic opinions on logically related issues.
Counterfactually Fair Prediction Using Multiple Causal Models
In this paper we study the problem of making predictions using multiple structural casual models defined by different agents, under the constraint that the prediction satisfies the criterion of counterfactual fairness.
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation
In this paper we consider the problem of combining multiple probabilistic causal models, provided by different experts, under the requirement that the aggregated model satisfy the criterion of counterfactual fairness.
