2019
Towards Hardware-Aware Tractable Learning of Probabilistic Models
NeurIPS 2019poster
Smart portable applications increasingly rely on edge computing due to privacy and latency concerns. But guaranteeing always-on functionality comes with two major challenges: heavily resource-constrained hardware; and dynamic application conditions. Probabilistic models present an ideal solution to…