Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
Uncertainty in Conditional Average Treatment Effect Estimation
Bayesian Deep Learning Benchmarks
A research framework for autonomous driving
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.