Machine Learning of Bayesian Networks Using Constraint Programming

By Peter van Beek, Hella-Franziska Hoffmann. 2015

56 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Bryon Aragam
2. Eric P. Xing
3. Pradeep Ravikumar
4. Matti Järvisalo
5. Xun Zheng
6. Kari Rantanen
7. Antti Hyttinen
8. Yoshua Bengio

In Management Science and Operations Research

1. Eric P. Xing
2. Pradeep Ravikumar
3. Matti Järvisalo
4. Bryon Aragam
5. Xun Zheng
6. Kari Rantanen
7. Antti Hyttinen

Citations in the corpus

• DAGs with NO TEARS: Continuous Optimization for Structure Learning (2018, background): “For example, recent state-of-the-art work (Cussens et al., 2017; Chen et al., 2016) only scale to problems with a few dozen nodes (Van Beek and Hoffmann, 2015).”
• Learning Optimal Causal Graphs with Exact Search (2018, background): “Finally, we note that different branch and bound style algorithms have also been proposed for other structure learning tasks (Suzuki, 1996; Tian, 2000; Malone and Yuan, 2014; van Beek and Hoffmann, 2015; Suzuki and Kawahara, 2017; Rantanen et al., 2017).”