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Shankar Vembu

University of Toronto

Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition

Nov 17, 2019
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum


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Interactive Learning from Multiple Noisy Labels

Jul 24, 2016
Shankar Vembu, Sandra Zilles


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Reconstructing subclonal composition and evolution from whole genome sequencing of tumors

Jan 06, 2015
Amit G. Deshwar, Shankar Vembu, Christina K. Yung, Gun Ho Jang, Lincoln Stein, Quaid Morris


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Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors

Aug 11, 2014
Amit G. Deshwar, Shankar Vembu, Quaid Morris

* Preprint of an article submitted for consideration in the Pacific Symposium on Biocomputing \c{opyright} 2015; World Scientific Publishing Co., Singapore, 2015; http://psb.stanford.edu/ 
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Inferring clonal evolution of tumors from single nucleotide somatic mutations

Nov 02, 2013
Wei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris


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Predicting accurate probabilities with a ranking loss

Jun 18, 2012
Aditya Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado

* ICML2012 
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Probabilistic Structured Predictors

May 09, 2012
Shankar Vembu, Thomas Gartner, Mario Boley

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009). arXiv admin note: substantial text overlap with arXiv:0912.4473 
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Learning to Predict Combinatorial Structures

Jun 26, 2010
Shankar Vembu

* PhD thesis, Department of Computer Science, University of Bonn (submitted, December 2009) 
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