2013

Inproceedings (conf/pkdd/BalasubramanyanDC13)
Balasubramanyan, R.; Dalvi, B. B. & Cohen, W. W.
Blockeel, H.; Kersting, K.; Nijssen, S. & Zelezný, F. (ed.)
From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.
Springer, 2013, 8189, 628-642

2010

Inproceedings (Zheleva:2010:SMM:1772690.1772794)
Zheleva, E.; Guiver, J.; Mendes Rodrigues, E. & Milić-Frayling, N.
Statistical models of music-listening sessions in social media
ACM, 2010, 1019-1028

2009

Inproceedings (journals/jmlr/ChangB09)
Chang, J. & Blei, D. M.
Dyk, D. A. V. & Welling, M. (ed.)
Relational Topic Models for Document Networks.
JMLR.org, 2009, 5, 81-88

Misc (goldenberg2009survey)
Goldenberg, A.; Zheng, A. X.; Fienberg, S. E. & Airoldi, E. M.
A survey of statistical network models
2009

2008

Inproceedings (conf/ai/ShafieiM08)
Shafiei, M. M. & Milios, E. E.
Bergler, S. (ed.)
A Statistical Model for Topic Segmentation and Clustering.
Springer, 2008, 5032, 283-295

2004

Incollection (bleigjt03)
Blei, D. M.; Griffiths, T. L.; Jordan, M. I. & Tenenbaum, J. B.
Hierarchical topic models and the nested Chinese restaurant process
MIT Press, 2004

Article (963774)
Hofmann, T.
Latent semantic models for collaborative filtering
ACM Trans. Inf. Syst., ACM Press, 2004, 22, 89-115