Amarnag Subramanya

Amarnag Subramanya

Co-Authors

Amarnag Subramanya is a senior research scientist in the machine learning & natural language processing group at Google Research. He received his PhD from University of Washington, Seattle in 2009. His interests include, semi-supervised learning, graphical models and their applications to various problems in natural language and speech.

Google Publications

  •    

    Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models

    Sameer Singh, Amarnag Subramanya, Fernando Pereira, Andrew McCallum

    Association for Computational Linguistics (ACL) (2011)

  •   

    Distributed MAP Inference for Undirected Graphical Models

    Sameer Singh, Amarnag Subramanya, Fernando Pereira, Andrew McCallum

    Workshop on Learning on Cores, Clusters and Clouds (LCCC), Neural Information Processing Society (NIPS) (2010)

  •   

    Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models

    Amarnag Subramanya, Slav Petrov, Fernando Pereira

    Proceedings of the 2010 Conference on Empirical Methods on Natural Language Processing (EMNLP '10)

  •   

    Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification

    Amarnag Subramanya, Jeff Bilmes

    NIPS 2009

  •    

    Large Scale Graph Transduction

    Amarnag Subramanya, Jeff Bilmes

    NIPS 2009 Workshop on Large-Scale Machine Learning: Parallelism and Massive Datasets, NIPS

Previous Publications

  •  

    Semi-Supervised Learning with Measure Propagation

    Amarnag Subramanya, Jeff Bilmes

    Journal of Machine Learning Research (JMLR), vol. 12 (2011), pp. 3311-3370