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Eric L. Miller

2 accepted papers

2022

Easy Variational Inference for Categorical Models via an Independent Binary Approximation

ICML 2022spotlight

We pursue tractable Bayesian analysis of generalized linear models (GLMs) for categorical data. GLMs have been difficult to scale to more than a few dozen categories due to non-conjugacy or strong posterior dependencies when using conjugate auxiliary variable methods. We define a new class of GLMs f…

2020

Optimal Transport Based Change Point Detection and Time Series Segment Clustering

ICASSP 2020accepted

Two common problems in time series analysis are the decomposition of the data stream into disjoint segments that are each in some sense "homogeneous" - a problem known as Change Point Detection (CPD) - and the grouping of similar nonadjacent segments, a problem that we call Time Series Segment Clust…

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