Category: News Archive
Our work on nonparametric structure learning on hidden tree structured graphical models has been accepted for presentation at the International Workshop on “Inference on Graphical Models”, to be held at Columbia University, October 11-12, 2019.
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More here: https://sites.google.com/view/workshopcolumbiastatistics/home?authuser=0
New paper accepted to AISTATS 2019: “Learning Tree Structures from Noisy Data”
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Nothing to add. 🙂
Check out our new paper on predictive learning on sign-valued hidden Markov trees (to be submitted shortly to JMLR)! This paper not only extends prior work…
Check out our new Rutgers ECE Research Day poster on learning hidden tree structures!
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Check out our new Rutgers ECE Research Day poster on learning hidden tree structures! This is an exciting new piece of work in close collaboration…