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  • title: Grassmann Stein Variational Gradient Descent
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            Grassmann Stein Variational Gradient Descent
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            Grassmann Stein Variational Gradient Descent

            Mar 28, 2022

            Speakers

            XL

            Xing Liu

            Speaker · 1 follower

            HZ

            Harrison Zhu

            Speaker · 0 followers

            JT

            Jean-Francois Ton

            Speaker · 0 followers

            About

            Stein variational gradient descent (SVGD) is a deterministic particle inference algorithm that provides an efficient alternative to Markov chain Monte Carlo. However, SVGD has been found to suffer from variance underestimation when the dimensionality of the target distribution is high. Recent developments have advocated projecting both the score function and the data onto real lines to sidestep this issue, although this can severely overestimate the epistemic (model) uncertainty. In this work, w…

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