Dave Moore

According to our database, Dave Moore authored at least 13 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Automatic structured variational inference.

Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel van Gerven

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware.

Junpeng Lao, Christopher Suter, Ian Langmore, Cyril Chimisov, Ashish Saxena, Pavel Sountsov, Dave Moore, Rif A. Saurous, Matthew D. Hoffman, Joshua V. Dillon

CoRR, 2020

Joint Distributions for TensorFlow Probability.

Dan Piponi, Dave Moore, Joshua V. Dillon

CoRR, 2020

Automatic Reparameterisation of Probabilistic Programs.

Maria I. Gorinova, Dave Moore, Matthew D. Hoffman

Proceedings of the 37th International Conference on Machine Learning, 2020

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

CoRR, 2019

2018

Effect Handling for Composable Program Transformations in Edward2.

Dave Moore, Maria I. Gorinova

CoRR, 2018

Simple, Distributed, and Accelerated Probabilistic Programming.

Dustin Tran, Matthew D. Hoffman, Dave Moore, Christopher Suter, Srinivas Vasudevan, Alexey Radul, Matthew J. Johnson, Rif A. Saurous

CoRR, 2018

Meta-Learning MCMC Proposals.

Tongzhou Wang, Yi Wu, Dave Moore, Stuart J. Russell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Simple, Distributed, and Accelerated Probabilistic Programming.

Dustin Tran, Matthew D. Hoffman, Dave Moore, Christopher Suter, Srinivas Vasudevan, Alexey Radul

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

TensorFlow Distributions.

Joshua V. Dillon, Ian Langmore, Dustin Tran, Eugene Brevdo, Srinivas Vasudevan, Dave Moore, Brian Patton, Alex Alemi, Matthew D. Hoffman, Rif A. Saurous

CoRR, 2017

2012

With Eloquence and Humanity? Human Factors/Ergonomics in Sustainable Human Development.

Dave Moore, Tim Barnard

Hum. Factors, 2012

2009

Training novel phonemic contrasts: a comparison of identification and oddity discrimination training.

Zöe Handley, Mike Sharples, Dave Moore

Proceedings of the ISCA International Workshop on Speech and Language Technology in Education, 2009