Wilson, Aaron

7 publications

ICML 2024 Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates Ashish Hooda, Mihai Christodorescu, Miltiadis Allamanis, Aaron Wilson, Kassem Fawaz, Somesh Jha

AAAI 2015 Graph Analysis for Detecting Fraud, Waste, and Abuse in Healthcare Data Juan Liu, Eric Bier, Aaron Wilson, Tomonori Honda, Kumar Sricharan, Leilani Gilpin, John Alexis Guerra Gómez, Daniel Davies

JMLR 2014 Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning Aaron Wilson, Alan Fern, Prasad Tadepalli

NeurIPS 2012 A Bayesian Approach for Policy Learning from Trajectory Preference Queries Aaron Wilson, Alan Fern, Prasad Tadepalli

AAAI 2010 Bayesian Policy Search for Multi-Agent Role Discovery Aaron Wilson, Alan Fern, Prasad Tadepalli

ECML-PKDD 2010 Incorporating Domain Models into Bayesian Optimization for RL Aaron Wilson, Alan Fern, Prasad Tadepalli

ICML 2007 Multi-Task Reinforcement Learning: A Hierarchical Bayesian Approach Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepalli