activity
20182022
most citedAggregating Probabilistic Judgments

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2022

SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks

Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska +3

In second-order uncertain Bayesian networks, the conditional probabilities are only known within distributions, i.e., probabilities over probabilities. The delta-method has been ap…

cs.AI2019★ 5 cited

Aggregating Probabilistic Judgments

Magdalena Ivanovska, Marija Slavkovik

In this paper we explore the application of methods for classical judgment aggregation in pooling probabilistic opinions on logically related issues. For this reason, we first modi…

cs.AI2018

Counterfactually Fair Prediction Using Multiple Causal Models

Fabio Massimo Zennaro, Magdalena Ivanovska

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…

stat.CO2018

An Empirical Evaluation of the Approximation of Subjective Logic Operators Using Monte Carlo Simulations

Fabio Massimo Zennaro, Magdalena Ivanovska, Audun Jøsang

In this paper we analyze the use of subjective logic as a framework for performing approximate transformations over probability distribution functions. As for any approximation, we…

cs.AI2018★ 1 cited

Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation

Fabio Massimo Zennaro, Magdalena Ivanovska

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…