Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI
International Conference on Machine Learning (ICML)
Bayesian Inference
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
International Conference on Machine Learning (ICML)
Transport Elliptical Slice Sampling
International Conference on Artificial Intelligence and Statistics (AISTATS)
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language
Journal of Statistical Software
Stochastic Gradient Markov Chain Monte Carlo
Journal of the American Statistical Association
Bayesian calibration of firn densification models
The Cryosphere
Control variates for stochastic gradient MCMC
Statistics and Computing
Parameter estimation for state space models using sequential Monte Carlo algorithms
PhD Thesis