45 citations · 92 across the 6 of their papers we have counts for
4 papers · 1 filter
Streaming Variational Inference for Bayesian Nonparametric Mixture Models
Alex Tank, Nicholas J. Foti, Emily B. Fox
In theory, Bayesian nonparametric (BNP) models are well suited to streaming data scenarios due to their ability to adapt model complexity with the observed data. Unfortunately, suc…
Stochastic Variational Inference for Hidden Markov Models
Nicholas J. Foti, Jason Xu, Dillon Laird +1
Variational inference algorithms have proven successful for Bayesian analysis in large data settings, with recent advances using stochastic variational inference (SVI). However, su…
Expectation-Maximization for Learning Determinantal Point Processes
Jennifer Gillenwater, Alex Kulesza, Emily Fox +1
A determinantal point process (DPP) is a probabilistic model of set diversity compactly parameterized by a positive semi-definite kernel matrix. To fit a DPP to a given task, we wo…
Concept Modeling with Superwords
Khalid El-Arini, Emily B. Fox, Carlos Guestrin
In information retrieval, a fundamental goal is to transform a document into concepts that are representative of its content. The term "representative" is in itself challenging to…