13 citations · 21 across the 5 of their papers we have counts for
5 papers
Coupled Compound Poisson Factorization
Mehmet E. Basbug, Barbara E. Engelhardt
We present a general framework, the coupled compound Poisson factorization (CCPF), to capture the missing-data mechanism in extremely sparse data sets by coupling a hierarchical Po…
Dynamic Collaborative Filtering with Compound Poisson Factorization
Ghassen Jerfel, Mehmet E. Basbug, Barbara E. Engelhardt
Model-based collaborative filtering analyzes user-item interactions to infer latent factors that represent user preferences and item characteristics in order to predict future inte…
Hierarchical Compound Poisson Factorization
Mehmet E. Basbug, Barbara E. Engelhardt
Non-negative matrix factorization models based on a hierarchical Gamma-Poisson structure capture user and item behavior effectively in extremely sparse data sets, making them the i…
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS
Mehmet Emin Basbug, Koray Ozcan, Senem Velipasalar
As part of daily monitoring of human activities, wearable sensors and devices are becoming increasingly popular sources of data. With the advent of smartphones equipped with accelo…
AdaCluster : Adaptive Clustering for Heterogeneous Data
Mehmet Emin Basbug, Barbara Engelhardt
Clustering algorithms start with a fixed divergence, which captures the possibly asymmetric distance between a sample and a centroid. In the mixture model setting, the sample distr…