Krishnaram Kenthapadi

@kkenthapadi

Amazon AWS AI. Fairness/Explainability/Privacy. Past: LinkedIn AI, Microsoft Research. Computational Education, Web Search, Graph Algorithms. Opinions my own.

Sunnyvale, CA
Vrijeme pridruživanja: prosinac 2008.

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  1. proslijedio/la je Tweet
    29. sij

    Happening now: CRAFT workshop "Bridging the gap between research & practice"! We begin w/ a talk by on & in hiring at LinkedIn.

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  2. 28. sij
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  3. 27. sij
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    21. sij

    Join me & for our CRAFT workshop "Bridging the Gap from Research to Practice" on 1/29 at 3p! Special talks on work by , , , , & Lewis Baker.

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    27. stu 2019.

    A new book chapter on testing discrimination in practice is now available at

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    12. stu 2019.

    I am on the academic job market! My work is on human-centered machine learning (ML), and focuses on issues of fairness, accountability and sustainability when using ML for decision support. Please reach out if you think we may be a good fit!

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  8. Looking forward to the visit/talk by and at [10am this Thursday (November 14] on The Ethical Algorithm book

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    For 2020, the is trying to balance privacy and utility of its data products through differential privacy. This is a BIG deal for all who care about open data, privacy, and evidence-based decision-making. Yet, I worry that too few folks understand what's at play.

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    : Watch all the talks from . See speakers from AWS, Cloudflare, Facebook, Google, NVIDIA, and more discuss innovative solutions for large-scale platforms.

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  12. Enjoyed presenting recent talks on and in AI/ML Systems [ and Labs distinguished lecture]. Sharing the slides:

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    17. lis 2019.

    Official: Explainable AI Tutorial to be hosted in New-York at in February 2020. Speakers: @flecue and Sahin Cem Geyik. More information in

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  14. Looking forward to presenting our work on and in AI/ML Systems at 11:20am today in the privacy track of .

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  15. proslijedio/la je Tweet
    1. lis 2019.

    An optimal composition theorem for exponential mechanisms in differential privacy by Dong, Durfee, and Rogers: . It comes with a surprise: you get better composition if your mechanisms are selected non-adaptively. I've not seen a result like that before.

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    5. ruj 2019.

    Folks, today I am SO EXCITED that Google colleagues and I are open-sourcing our ✨ differential privacy library ✨ for anyone to use. I've been waiting & pushing for this for a while now! I can't wait to see what other folks & organizations do with it! 🌈

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  18. 8. kol 2019.

    Interested in -Aware at ? Please drop by ADS7 session [10-12 today in Summit 5/6, Grnd Lvl, Egan] to hear Sahin Geyik present our work: @kdd_news

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  19. 6. kol 2019.
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  20. 6. kol 2019.
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