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Randomized Automatic Differentiation
The successes of deep learning, variational inference, and many other fi...
07/20/2020 ∙ by Deniz Oktay, et al. ∙
38
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Learning Composable Energy Surrogates for PDE Order Reduction
Meta-materials are an important emerging class of engineered materials i...
05/13/2020 ∙ by Alex Beatson, et al. ∙
0
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SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
Standard variational lower bounds used to train latent variable models p...
04/01/2020 ∙ by Yucen Luo, et al. ∙
8
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Efficient Optimization of Loops and Limits with Randomized Telescoping Sums
We consider optimization problems in which the objective requires an inn...
05/16/2019 ∙ by Alex Beatson, et al. ∙
4
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Continual Learning in Generative Adversarial Nets
Developments in deep generative models have allowed for tractable learni...
05/23/2017 ∙ by Ari Seff, et al. ∙
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