Search Machine Learning Repository: @inproceedings{icml2014c1_samdani14,
    Publisher = {JMLR Workshop and Conference Proceedings},
    Title = {A Discriminative Latent Variable Model for Online Clustering},
    Url = {http://jmlr.org/proceedings/papers/v32/samdani14.pdf},
    Abstract = {This paper presents a latent variable structured prediction model for discriminative supervised clustering of items called the Latent Left-linking Model (L3M). We present an online clustering algorithm for L3M based on a feature-based item similarity function. We provide a learning framework for estimating the similarity function and present a fast stochastic gradient-based learning technique. In our experiments on coreference resolution and document clustering, L3 M outperforms several existing online as well as batch supervised clustering techniques.},
    Author = {Rajhans Samdani and Kai-wei Chang and Dan Roth},
    Editor = {Tony Jebara and Eric P. Xing},
    Year = {2014},
    Booktitle = {Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
    Pages = {1-9}
   }