4 citations · 9 across the 5 of their papers we have counts for
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cs.LG2020
Principles and Practice of Explainable Machine Learning
Vaishak Belle, Ioannis Papantonis
Artificial intelligence (AI) provides many opportunities to improve private and public life. Discovering patterns and structures in large troves of data in an automated manner is a…
cs.LG2020★ 1 cited
On Constraint Definability in Tractable Probabilistic Models
Ioannis Papantonis, Vaishak Belle
Incorporating constraints is a major concern in probabilistic machine learning. A wide variety of problems require predictions to be integrated with reasoning about constraints, fr…
cs.AI2020★ 4 cited
Interventions and Counterfactuals in Tractable Probabilistic Models: Limitations of Contemporary Transformations
Ioannis Papantonis, Vaishak Belle
In recent years, there has been an increasing interest in studying causality-related properties in machine learning models generally, and in generative models in particular. While…