1. A review of uncertainty quantification in deep learning: techniques, applications and challenges;Abdar;Information Fusion,2021
2. Non-volume preserving Hamiltonian Monte Carlo and no-u-turnsamplers;Afshar,2021
3. The targeted shadowing hybrid Monte Carlo (tshmc) method;Akhmatskaya,2006
4. Frequentist uncertainty in recurrent neural networks via blockwise influence functions;Alaa,2020
5. A tutorial on adaptive mcmc;Andrieu;Statistics and Computing,2008