Stephen P.

Bellevue, Washington, United States Contact Info
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About

Global leader with a focus on improving data, systems, and algorithms for machine…

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Experience & Education

  • Autonomous Data Management LLC

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Volunteer Experience

  • New York City Fire Department Graphic

    Advisory Counsel Member, Open Data Initiative

    New York City Fire Department

    - 1 year 7 months

    Science and Technology

    Great people in the Fire Department allowed me the opportunity to give back to the community by helping them craft ways for citizens to engage with community data to save lives.

Publications

  • Statistically adaptive learning for a general class of cost functions (SA L-BFGS)

    arXiV

    We present a system that enables rapid model experimentation for tera-scale machine learning with trillions of non-zero features, billions of training examples, and millions of parameters. Our contribution to the literature is a new method (SA L-BFGS) for changing batch L-BFGS to perform in near real-time by using statistical tools to balance the contributions of previous weights, old training examples, and new training examples to achieve fast convergence with few iterations. The result is, to…

    We present a system that enables rapid model experimentation for tera-scale machine learning with trillions of non-zero features, billions of training examples, and millions of parameters. Our contribution to the literature is a new method (SA L-BFGS) for changing batch L-BFGS to perform in near real-time by using statistical tools to balance the contributions of previous weights, old training examples, and new training examples to achieve fast convergence with few iterations. The result is, to our knowledge, the most scalable and flexible linear learning system reported in the literature, beating standard practice with the current best system (Vowpal Wabbit and AllReduce). Using the KDD Cup 2012 data set from Tencent, Inc. we provide experimental results to verify the performance of this method.

    Other authors
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Patents

Honors & Awards

  • Amazon Web Services Commercial Employee of the Quarter, Q1 2019

    Amazon Web Services

  • Finalist, EY Entrepreneur Of The Year® 2015 in the Pacific Northwest

    Ernst & Young LLP

    Finalist, EY Entrepreneur Of The Year® 2015 in the Pacific Northwest

  • Nominated, Best Paper Award

    Computer Human Interaction (CHI) Conference

  • Cornell Department of Computer Science Outstanding Teaching Award

    -

  • Yahoo! Graduate Student Teaching Award

    Yahoo!

    Awarded to the best graduate student instructor in Computer Science at Cornell University, Ithaca campus.

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