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Shravan Narayanamurthy

Microsoft Cloud Information Services Laboratory

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Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles

Dhruv Mahajan,Vivek Gupta,S. Sathiya Keerthi,Sellamanickam Sundararajan,Shravan Narayanamurthy,Rahul Kidambi

arXiv: Learning, (2017)

EIBibtex

REEF: Retainable Evaluator Execution Framework

Markus Weimer,Yingda Chen,Byung-Gon Chun,Tyson Condie,Carlo Curino,Chris Douglas,Yunseong Lee,Tony Majestro,Dahlia Malkhi,Sergiy Matusevych,Brandon Myers,Shravan Narayanamurthy

ACM SIGMOD Conference, (2015): 1343-1355

Cited by38EIWOSBibtex

REEF: retainable evaluator execution framework

Byung-Gon Chun,Tyson Condie,Carlo Curino,Chris Douglas,Sergiy Matusevych,Brandon Myers,Shravan Narayanamurthy,Raghu Ramakrishnan,Sriram Rao,Josh Rosen,Russell Sears,Markus Weimer

PVLDB, no. 12 (2013): 1370-1373

Cited by31EIBibtex

Distributed large-scale natural graph factorization

Amr Ahmed,Nino Shervashidze,Shravan Narayanamurthy,Vanja Josifovski,Alexander J. Smola

WWW, pp.37-48, (2013)

Cited by259EIBibtex

Scalable inference in latent variable models

Amr Ahmed,Moahmed Aly,Joseph Gonzalez,Shravan Narayanamurthy,Alexander J. Smola

WSDM, pp.123-132, (2012)

Cited by284EIBibtex

An architecture for parallel topic models

Alexander J. Smola,Shravan M. Narayanamurthy

PVLDB, no. 1-2 (2010): 703-710

Cited by351EIBibtex

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