2 papers
cs.LG2022
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry
Mark Penrod, Harrison Termotto, Varshini Reddy +3
For responsible decision making in safety-critical settings, machine learning models must effectively detect and process edge-case data. Although existing works show that predictiv…
cs.LG2022
Policy Optimization with Sparse Global Contrastive Explanations
Jiayu Yao, Sonali Parbhoo, Weiwei Pan +1
We develop a Reinforcement Learning (RL) framework for improving an existing behavior policy via sparse, user-interpretable changes. Our goal is to make minimal changes while gaini…