Dieterich Lawson
TitleCited byYear
Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models
G Tucker, A Mnih, CJ Maddison, J Lawson, J Sohl-Dickstein
Advances in Neural Information Processing Systems, 2627-2636, 2017
842017
Filtering variational objectives
CJ Maddison, D Lawson, G Tucker, N Heess, M Norouzi, A Mnih, ...
Advances in Neural Information Processing Systems, 6573-6583, 2017
672017
Changing model behavior at test-time using reinforcement learning
A Odena, D Lawson, C Olah
International Conference on Learning Representations (ICLR) Workshops 2017, 2017
162017
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
G Tucker, D Lawson, S Gu, CJ Maddison
International Conference on Learning Representations (ICLR) 2019, 2018
112018
Learning Hard Alignments with Variational Inference
D Lawson, CC Chiu, G Tucker, C Raffel, K Swersky, N Jaitly
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
82018
Particle Value Functions
CJ Maddison, D Lawson, G Tucker, N Heess, A Doucet, A Mnih, YW Teh
International Conference on Learning Representations (ICLR) Workshops 2017, 2017
82017
Alternating direction method of multipliers implementation using Apache Spark
D Lawson
Stanford University: Stanford, CA, USA, 2014
52014
An online sequence-to-sequence model for noisy speech recognition
CC Chiu, D Lawson, Y Luo, G Tucker, K Swersky, I Sutskever, N Jaitly
arXiv preprint arXiv:1706.06428, 2017
42017
Training a subsampling mechanism in expectation
C Raffel, D Lawson
arXiv preprint arXiv:1702.06914, 2017
42017
Twisted variational sequential monte carlo
D Lawson, G Tucker, CA Naesseth, CJ Maddison, RP Adams, YW Teh
Bayesian Deep Learning Workshop, NIPS, 2018
22018
Revisiting Auxiliary Latent Variables in Generative Models
D Lawson, G Tucker, B Dai, R Ranganath
2019
The Tablecast data publishing protocol
KP Yee, D Lawson, D König, D Zak
Proceedings of the 8th International ISCRAM Conference–Lisbon 1, 2011
2011
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Articles 1–12