### Statistical applications of contrastive learning

Statistics Seminar

15th October 2021, 3:00 pm – 4:00 pm

Virtual Seminar, Zoom link: TBA

My talk has two main parts: The first part introduces

contrastive learning as an intuitive and computationally feasible

alternative to likelihood-based learning. The second part looks at

three diverse applications of contrastive learning: parameter

estimation for energy-based models, Bayesian inference for implicit

models, as well as Bayesian experimental design.

*Organiser*: Juliette Unwin

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