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DTSTART:20180311T070000
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DTSTART:20171105T060000
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DTSTART;TZID=America/Toronto:20180612T150000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/phd-seminar-d
 eep-homogeneous-mixture-models-representation
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Seminar: Deep Homogeneous Mixture Models: Representation\,\nSep
 aration\, and Approximation
CLASS:PUBLIC
DESCRIPTION:Priyank Jaini\, PhD candidate\nDavid R. Cheriton School of Comp
 uter Science\n\nAt their core\, many unsupervised learning models provide 
 a compact\nrepresentation of homogeneous density mixtures\, but their simi
 larities\nand differences are not always clearly understood. In this work\
 , we\nformally establish the relationships among latent tree graphical\nmo
 dels (including special cases such as hidden Markov models and\ntensorial 
 mixture models)\, hierarchical tensor formats and sum-product\nnetworks.
DTSTAMP:20260324T064733Z
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