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  • title: Model Fusion with Kullback--Leibler Divergence
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            Model Fusion with Kullback--Leibler Divergence
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            Model Fusion with Kullback--Leibler Divergence

            Jul 12, 2020

            Speakers

            SC

            Sebastian Claici

            Speaker · 0 followers

            MY

            Mikhail Yurochkin

            Speaker · 0 followers

            SG

            Soumya Ghosh

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            About

            We propose a method to fuse posterior distributions learned from heterogeneous datasets. Our algorithm relies on a mean field assumption for both the fused model and the individual dataset posteriors, and proceeds in a simple assign-and-average approach. The components of the dataset posteriors are assigned to the proposed global model components by solving a regularized variant of the assignment problem. The global components are then updated based on these assignments by their mean under a KL…

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            ICML 2020

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            About ICML 2020

            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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