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              Challenges and Opportunities in High-dimensional Variational Inference

              Dec 6, 2021

              Speakers

              AKD

              Akash Kumar Dhaka

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              AC

              Alejandro Catalina

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              MW

              Manushi Welandawe

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              About

              Current black-box variational inference (BBVI) methods require the user to make numerous design choices – such as the selection of variational objective and approximating family – yet there is little principled guidance on how to do so. We develop a conceptual framework and set of experimental tools to understand the effects of these choices, which we leverage to propose best practices for maximizing posterior approximation accuracy. Our approach is based on studying the pre-asymptotic tail beha…

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              NeurIPS 2021

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              About NeurIPS 2021

              Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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