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David Garlan

2 accepted papers

2023

CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots

RA-L 2023

Robotic systems have subsystems with a combinatorially large configuration space and hundreds or thousands of possible software and hardware configuration options interacting non-trivially. The configurable parameters are set to target specific objectives, but they can cause functional faults when i

Cited by 14SourcecodeScholar
2023

HyperJump: Accelerating HyperBand via Risk Modelling

AAAI 2023technical

In the literature on hyper-parameter tuning, a number of recent solutions rely on low-fidelity observations (e.g., training with sub-sampled datasets) to identify promising configurations to be tested via high-fidelity observations (e.g., using the full dataset). Among these, HyperBand is arguably o…