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Aaron Johnson

3 accepted papers

2022

Differentially Private Maximal Information Coefficients

ICML 2022spotlight

The Maximal Information Coefficient (MIC) is a powerful statistic to identify dependencies between variables. However, it may be applied to sensitive data, and publishing it could leak private information. As a solution, we present algorithms to approximate MIC in a way that provides differential pr…

2021

Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning

CoRL 2021poster

Autonomous navigation of wheeled robots in rough terrain environments has been a long standing challenge. In these environments, predicting the robot's trajectory can be challenging due to the complexity of terrain interactions, as well as the divergent dynamics that cause model uncertainty to compo…

Cited by 17SourceScholar