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Vikas Sindhwani

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Recycling Randomness with Structure for Sublinear time Kernel Expansions

May 29, 2016
Krzysztof Choromanski, Vikas Sindhwani

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Learning Compact Recurrent Neural Networks

Apr 09, 2016
Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath

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Structured Transforms for Small-Footprint Deep Learning

Oct 06, 2015
Vikas Sindhwani, Tara N. Sainath, Sanjiv Kumar

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Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels

Aug 09, 2015
Haim Avron, Vikas Sindhwani, Jiyan Yang, Michael Mahoney

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High-performance Kernel Machines with Implicit Distributed Optimization and Randomization

Apr 16, 2015
Vikas Sindhwani, Haim Avron

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Learning Machines Implemented on Non-Deterministic Hardware

Sep 09, 2014
Suyog Gupta, Vikas Sindhwani, Kailash Gopalakrishnan

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Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality

Aug 09, 2014
Vikas Sindhwani, Ha Quang Minh, Aurelie Lozano

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Near-separable Non-negative Matrix Factorization with $\ell_1$- and Bregman Loss Functions

Dec 27, 2013
Abhishek Kumar, Vikas Sindhwani

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Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization

Oct 03, 2012
Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur

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