32 citations · 59 across the 5 of their papers we have counts for
5 papers
Learning Representations of Missing Data for Predicting Patient Outcomes
Brandon Malone, Alberto Garcia-Duran, Mathias Niepert
Extracting actionable insight from Electronic Health Records (EHRs) poses several challenges for traditional machine learning approaches. Patients are often missing data relative t…
Knowledge Graph Completion to Predict Polypharmacy Side Effects
Brandon Malone, Alberto García-Durán, Mathias Niepert
The polypharmacy side effect prediction problem considers cases in which two drugs taken individually do not result in a particular side effect; however, when the two drugs are tak…
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks
Brandon Malone, Changhe Yuan
Exact algorithms for learning Bayesian networks guarantee to find provably optimal networks. However, they may fail in difficult learning tasks due to limited time or memory. In th…
An Improved Admissible Heuristic for Learning Optimal Bayesian Networks
Changhe Yuan, Brandon Malone
Recently two search algorithms, A* and breadth-first branch and bound (BFBnB), were developed based on a simple admissible heuristic for learning Bayesian network structures that o…
Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search
Brandon Malone, Changhe Yuan, Eric A. Hansen +1
Previous work has shown that the problem of learning the optimal structure of a Bayesian network can be formulated as a shortest path finding problem in a graph and solved using A*…