4 citations · 9 across the 5 of their papers we have counts for
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cs.LG2022★ 1 cited
Principled Diverse Counterfactuals in Multilinear Models
Ioannis Papantonis, Vaishak Belle
Machine learning (ML) applications have automated numerous real-life tasks, improving both private and public life. However, the black-box nature of many state-of-the-art models po…
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…