Moore, Dave

6 publications

ICLR 2022 Embedded-Model Flows: Combining the Inductive Biases of Model-Free Deep Learning and Explicit Probabilistic Modeling Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni

AISTATS 2021 Automatic Structured Variational Inference Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel Gerven

ICML 2020 Automatic Reparameterisation of Probabilistic Programs Maria Gorinova, Dave Moore, Matthew Hoffman

NeurIPSW 2019 BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding Emad Elwany, Dave Moore, Gaurav Oberoi

NeurIPS 2018 Meta-Learning MCMC Proposals Tongzhou Wang, Yi Wu, Dave Moore, Stuart Russell

NeurIPS 2018 Simple, Distributed, and Accelerated Probabilistic Programming Dustin Tran, Matthew W Hoffman, Dave Moore, Christopher Suter, Srinivas Vasudevan, Alexey Radul