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Manzil Zaheer
Ph.D
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A common thread in my research is the harnessing of theoretical techniques from varied disciplines to solve practical problems. I love learning, implementing complicated statistical inference, data-parallel programming, and algorithms in a simple way. Currently I am interested in nonparametric Bayesian methods, scalable machine learning, fast sampling techniques, random graph generative models and applications of machine learning to VLSI CAD.
Papers76 papers
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Reddi Sashank, Charles Zachary,Zaheer Manzil, Garrett Zachary, Rush Keith, Konečný Jakub,Kumar Sanjiv,McMahan H. Brendan
ICLR 2021, (2021)
EMNLP, pp.4752-4765, (2020)
NeurIPS, (2020)
NIPS 2020, (2020)
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang,Amr Ahmed
NIPS 2020, (2020)
empirical methods in natural language processing, pp.4752-4765, (2020)
Manzil Zaheer, Guru Guruganesh,Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon,Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
NeurIPS, (2020)
Nicholas Monath,Avinava Dubey, Guru Guruganesh,Manzil Zaheer,Amr Ahmed,Andrew McCallum, Gokhan Mergen,Marc Najork, Mert Terzihan, Bryon Tjanaka,Yuan Wang, Yuchen Wu
AISTATS, pp.2066-2076, (2020)
AKBC, (2020)
MLSys, (2020)
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