"Clusterability in Neural Networks": Introduced graph clustering to measure neuron grouping structure; showed networks trained with pruning/dropout are more clusterable.
"Exploring Hierarchy-Aware Inverse Reinforcement Learning": Presented at GoalsRL 2018; advocated hierarchical human models in IRL.
Co-authored web book "Modeling Agents with Probabilistic Programs" on agent modeling using WebPPL.
"Self-Modification of Policy and Utility Function in Rational Agents": Won the Kurzweil Prize for best paper at AGI 2016.
"Loss Bounds and Time Complexity for Speed Priors": Presented at AISTATS 2016, published in JMLR; analyzed time-sensitive algorithmic priors.