105 citations · 148 across the 18 of their papers we have counts for
19 papers
Advances in Automatically Rating the Trustworthiness of Text Processing Services
Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi +1
AI services are known to have unstable behavior when subjected to changes in data, models or users. Such behaviors, whether triggered by omission or commission, lead to trust issue…
Rating Sentiment Analysis Systems for Bias through a Causal Lens
Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta
Sentiment Analysis Systems (SASs) are data-driven Artificial Intelligence (AI) systems that, given a piece of text, assign one or more numbers conveying the polarity and emotional…
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
This paper provides a graphical characterization of Markov blankets in chain graphs (CGs) under the Lauritzen-Wermuth-Frydenberg (LWF) interpretation. The characterization is diffe…
Learning LWF Chain Graphs: an Order Independent Algorithm
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
LWF chain graphs combine directed acyclic graphs and undirected graphs. We present a PC-like algorithm that finds the structure of chain graphs under the faithfulness assumption to…
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
We address the problem of finding a minimal separator in an Andersson-Madigan-Perlman chain graph (AMP CG), namely, finding a set Z of nodes that separates a given nonadjacent pair…
Order-Independent Structure Learning of Multivariate Regression Chain Graphs
Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi
This paper deals with multivariate regression chain graphs (MVR CGs), which were introduced by Cox and Wermuth [3,4] to represent linear causal models with correlated errors. We co…