Rif A. Saurous
Authored Publications
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Sequential Monte Carlo Learning for Time Series Structure Discovery
Feras Saad
Matthew D. Hoffman
Vikash Mansinghka
Proceedings of the 40th International Conference on Machine Learning (2023), pp. 29473-29489
Automatically batching control-intensive programs for modern accelerators
Alexey Radul
Dougal Maclaurin
Matthew D. Hoffman
Third Conference on Systems and Machine Learning, Austin, TX (2020)
Estimating the Changing Infection Rate of COVID-19 Using Bayesian Models of Mobility
Xue Ben
Shawn O'Banion
Matthew D. Hoffman
medRxiv, https://www.medrxiv.org/content/10.1101/2020.08.06.20169664v1.full (2020)
Large-Scale Weakly-Supervised Content Embeddingsfor Music Recommendation and Tagging
Qingqing Huang
Li Zhang
John Roberts Anderson
ICASSP 2020 (2020)
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
Proceedings of ICASSP 2020 (2020) (to appear)
Differentiable Consistency Constraints for Improved Deep Speech Enhancement
Jeremy Thorpe
Michael Chinen
IEEE International Conference on Acoustics, Speech, and Signal Processing (2019)
Simple, Distributed, and Accelerated Probabilistic Programming
Matthew D. Hoffman
Dave Moore
Christopher Gordon Suter
Srinivas Vasudevan
Alexey Radul
Matthew Johnson
NeurIPS (2018)
Fixing a Broken ELBO
Alex Alemi
Ben Poole
Ian Fischer
Josh Dillon
Proceedings of the 35th International Conference on Machine Learning, PMLR, Stockholmsmässan, Stockholm Sweden (2018), pp. 159-168
Neumann Optimizer: A Practical Optimizer for Deep Neural Networks
Shankar Krishnan
Ying Xiao
International Conference on Learning Representations (ICLR) (2018)
