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Multiplicative noise and heavy tails in stochastic optimization
Although stochastic optimization is central to modern machine learning, ...
06/11/2020 ∙ by Liam Hodgkinson, et al. ∙
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Stochastic Normalizing Flows
We introduce stochastic normalizing flows, an extension of continuous no...
02/21/2020 ∙ by Liam Hodgkinson, et al. ∙
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The reproducing Stein kernel approach for post-hoc corrected sampling
Stein importance sampling is a widely applicable technique based on kern...
01/25/2020 ∙ by Liam Hodgkinson, et al. ∙
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Implicit Langevin Algorithms for Sampling From Log-concave Densities
For sampling from a log-concave density, we study implicit integrators r...
03/29/2019 ∙ by Liam Hodgkinson, et al. ∙
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Liam Hodgkinson
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berkeley college
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The University of Queensland
