Co-occurring keywords
Papers
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
ICML 2021
Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks
COLING 2020
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning
L4DC 2020
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
CORL 2020
Depth Uncertainty in Neural Networks
NIPS 2020
Practical Obstacles to Deploying Active Learning
IJCNLP 2019