129 citations · 365 across the 13 of their papers we have counts for
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cs.AI2018★ 39 cited
MLIC: A MaxSAT-Based framework for learning interpretable classification rules
Dmitry Malioutov, Kuldeep S. Meel
The wide adoption of machine learning approaches in the industry, government, medicine and science has renewed the interest in interpretable machine learning: many decisions are to…
cs.AI2007★ 74 cited
Lagrangian Relaxation for MAP Estimation in Graphical Models
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an intractable es…