[Research] upcoming lab meetings

[Purnamrita Sarkar]

Hello everyone!

 

  In the next to next lab-meeting (March 2nd) I will talk about 

"Euclidean Embedding of Author-Word Co-occurrence Data Through Time"

 

Here goes an abstract of it :

 

We address the problem of embedding entities into Euclidean space over time
based on co-occurrence count data. We model the probability of the data
given the (hidden) Euclidean coordinates of the entities. This results in a
factored state space model with real-valued hidden parent nodes and discrete
children. An approximation on the log partition function of the observation
model makes it conjugate to the Normal distribution, allowing us to
formulate the dynamic model as a Kalman filter. Qualitative results on
co-occurrences of authors and words in the NIPS corpus show that our model
results in efficient and meaningful embeddings of large datasets.

 

 

See you !

Purna

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