Simulation-based stackingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
Reproducible Model Selection Using Bagged PosteriorsBayesian Analysis (BA), 2020 |
Holes in Bayesian StatisticsJournal of Physics G: Nuclear and Particle Physics (J. Phys. G), 2020 |
Normalizing Flows for Probabilistic Modeling and InferenceJournal of machine learning research (JMLR), 2019 |
The frontier of simulation-based inferenceProceedings of the National Academy of Sciences of the United States of America (PNAS), 2019 |
Neural Spline FlowsNeural Information Processing Systems (NeurIPS), 2019 |
Variational Bayes under Model MisspecificationNeural Information Processing Systems (NeurIPS), 2019 |
Variational Bayesian Decision-making for Continuous UtilitiesNeural Information Processing Systems (NeurIPS), 2019 |
On the properties of variational approximations of Gibbs posteriorsJournal of machine learning research (JMLR), 2015 |
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba |
A General Framework for Updating Belief DistributionsJournal of The Royal Statistical Society Series B-statistical Methodology (JRSSB), 2013 |
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
Monte CarloJournal of machine learning research (JMLR), 2011 Matthew D. Hoffman Andrew Gelman |