research
∙
07/10/2021
Using Causal Analysis for Conceptual Deep Learning Explanation
Model explainability is essential for the creation of trustworthy Machin...
share
research
∙
03/12/2021
Causal Markov Boundaries
Feature selection is an important problem in machine learning, which aim...
research
∙
05/18/2020
Learning Adjustment Sets from Observational and Limited Experimental Data
Estimating causal effects from observational data is not always possible...
research
∙
05/30/2019
Rarely-switching linear bandits: optimization of causal effects for the real world
Exploring the effect of policies in many real world scenarios is difficu...
research
∙
03/10/2014