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stat.ML2021
Robust and Scalable SDE Learning: A Functional Perspective
Scott Cameron, Tyron Cameron, Arnu Pretorius +1
Stochastic differential equations provide a rich class of flexible generative models, capable of describing a wide range of spatio-temporal processes. A host of recent work looks t…
stat.ML2019★ 1 cited
Stochastic Gradient Annealed Importance Sampling for Efficient Online Marginal Likelihood Estimation
Scott A. Cameron, Hans C. Eggers, Steve Kroon
We consider estimating the marginal likelihood in settings with independent and identically distributed (i.i.d.) data. We propose estimating the predictive distributions in a seque…