Dustin Tran
Dustin Tran
Research Scientist, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Automatic differentiation variational inference
A Kucukelbir, D Tran, R Ranganath, A Gelman, DM Blei
The Journal of Machine Learning Research 18 (1), 430-474, 2017
3022017
Edward: A library for probabilistic modeling, inference, and criticism
D Tran, A Kucukelbir, AB Dieng, M Rudolph, D Liang, DM Blei
arXiv preprint arXiv:1610.09787, 2016
2002016
Hierarchical variational models
R Ranganath, D Tran, D Blei
International Conference on Machine Learning, 324-333, 2016
1692016
Hierarchical implicit models and likelihood-free variational inference
D Tran, R Ranganath, D Blei
Advances in Neural Information Processing Systems, 5523-5533, 2017
156*2017
Operator variational inference
R Ranganath, D Tran, J Altosaar, D Blei
Advances in Neural Information Processing Systems, 496-504, 2016
146*2016
Image transformer
N Parmar, A Vaswani, J Uszkoreit, Ł Kaiser, N Shazeer, A Ku, D Tran
arXiv preprint arXiv:1802.05751, 2018
1442018
Deep probabilistic programming
D Tran, MD Hoffman, RA Saurous, E Brevdo, K Murphy, DM Blei
arXiv preprint arXiv:1701.03757, 2017
1372017
Variational Gaussian Process
D Tran, R Ranganath, DM Blei
arXiv preprint arXiv:1511.06499, 2015
1072015
Tensorflow distributions
JV Dillon, I Langmore, D Tran, E Brevdo, S Vasudevan, D Moore, B Patton, ...
arXiv preprint arXiv:1711.10604, 2017
812017
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data
A Gelman, A Vehtari, P Jylänki, T Sivula, D Tran, S Sahai, P Blomstedt, ...
arXiv preprint arXiv:1412.4869, 2017
652017
Variational Inference via Upper Bound Minimization
AB Dieng, D Tran, R Ranganath, J Paisley, D Blei
Advances in Neural Information Processing Systems, 2732-2741, 2017
542017
Copula variational inference
D Tran, DM Blei, EM Airoldi
Advances in Neural Information Processing Systems, 3550-3558, 2015
512015
Flipout: Efficient pseudo-independent weight perturbations on mini-batches
Y Wen, P Vicol, J Ba, D Tran, R Grosse
arXiv preprint arXiv:1803.04386, 2018
442018
Mesh-tensorflow: Deep learning for supercomputers
N Shazeer, Y Cheng, N Parmar, D Tran, A Vaswani, P Koanantakool, ...
Advances in Neural Information Processing Systems, 10414-10423, 2018
442018
Towards stability and optimality in stochastic gradient descent
P Toulis, D Tran, EM Airoldi
Proceedings of the Nineteenth International Conference on Artificial …, 2015
40*2015
Reliable uncertainty estimates in deep neural networks using noise contrastive priors
D Hafner, D Tran, T Lillicrap, A Irpan, J Davidson
312018
Simple, distributed, and accelerated probabilistic programming
D Tran, MW Hoffman, D Moore, C Suter, S Vasudevan, A Radul
Advances in Neural Information Processing Systems, 7598-7609, 2018
232018
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
182017
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data
A Vehtari, A Gelman, T Sivula, P Jylänki, D Tran, S Sahai, P Blomstedt, ...
arXiv preprint arXiv:1412.4869, 2014
162014
Discrete flows: Invertible generative models of discrete data
D Tran, K Vafa, K Agrawal, L Dinh, B Poole
Advances in Neural Information Processing Systems, 14692-14701, 2019
132019
The system can't perform the operation now. Try again later.
Articles 1–20