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Kush Varshney कुश वार्ष्णेय
8,450 posts
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Kush Varshney कुश वार्ष्णेय
@krvarshney
I wrote a book. Free pdf: trustworthymachinelearning.com Paperback: amazon.com/dp/B09SL5GPCD Tweets are my own and don't necessarily represent IBM.
Chappaqua, NY
krvarshney.github.io
Joined March 2012
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  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Dec 30, 2021
    After an arduous journey over the last two plus years, I am happy to announce that I have written a 300 page book "Trustworthy Machine Learning" that brings together my entire career's work to-date. Please read it at trustworthymachinelearning.com and spread the word to your friends.
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Dec 15, 2020
    I'm now a standard test image in scikit-image, replacing the cameraman image that used to be there before. @lrvarshney took the photo on February 11, 2006. scikit-image.org/docs/dev/auto_…
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Mar 13, 2024
    I just became an IBM Fellow. This is the highest technical position in the company, and was able to do it by sticking to my values. Read more: ibm.com/ibm/ideasfromi… linkedin.com/pulse/ive-been…
    18K
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Feb 16, 2022
    Trustworthy Machine Learning is all done! It introduces concepts for developing accurate, fair, robust, explainable, transparent, inclusive, empowering and beneficial machine learning systems. Free pdf and html: trustworthymachinelearning.com At-cost paperback: amazon.com/dp/B09SL5GPCD
    Book cover of Trustworthy Machine Learning. Concepts for developing accurate, fair, robust, explainable, transparent, inclusive, empowering, and beneficial machine learning systems by Kush R. Varshney. A photograph shows a person standing on top of a horse, which is standing on a precarious section of a desolate rock formation. The horse must really be worthy of the person’s trust.

Accuracy is not enough when you’re developing machine learning systems for consequential application domains. You also need to make sure that your models are fair, have not been tampered with, will not fall apart in different conditions, and can be understood by people. Your design and development process has to be transparent and inclusive. You don’t want the systems you create to be harmful, but to help people flourish in ways they consent to.
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Feb 5, 2022
    It came two days early! trustworthymachinelearning.com
    user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Feb 3, 2022
    I've incorporated the input of a diverse voices panel, added accessible figure captions, improved the formatting, and made a few more updates. A printed proof of the paperback is arriving on Monday. Trustworthy Machine Learning is almost fully complete! trustworthymachinelearning.com
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Feb 16, 2021
    So pleased to announce that the first 4 (of 18) chapters of my book "Trust in Machine Learning" are available @ManningBooks @ManningMEAP here: manning.com/books/trustwor…. Through the early access program, you'll keep getting chapters as they're posted and the full book at the end.
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Feb 3, 2022
    I've incorporated the input of a diverse voices panel, added accessible figure captions, improved the formatting, and made a few more updates. A printed proof of the paperback is arriving on Monday. Trustworthy Machine Learning is almost fully complete! trustworthymachinelearning.com
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Mar 26, 2020
    I signed a contract with @ManningBooks today to write a book on Trustworthy Machine Learning, due on January 1, 2021. Grab initial drafts of the first two chapters before I take them down.
    overleaf.com
    Overleaf, Online LaTeX Editor
    An online LaTeX editor that’s easy to use. No installation, real-time collaboration, version control, hundreds of LaTeX templates, and more.
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Feb 13, 2020
    presenting Invariant Risk Minimization Games. I said it to @KartikAhuja1 and I'm saying it to the world --- this may end up being the most significant piece of work that I have been and ever will be involved with in my research career. arxiv.org/abs/2002.04692
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Feb 18, 2022
    I'm wearing a purple and pitambar t-shirt today to match the cover of Trustworthy Machine Learning. I'm standing in front of Figure 12.8. Finally, the result of this multi-year effort is in my hands! At-cost paperback: amazon.com/dp/B09SL5GPCD Free pdf: trustworthymachinelearning.com
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Sep 1, 2021
    Extremely pleased to announce the Causal Inference 360 open-source Python toolkit whose creation was led by @ShimoniYishai @ehudkar @IBMResearch. blog: research.ibm.com/blog/causal-36… website: ci360.mybluemix.net paper: arxiv.org/abs/1906.00442 repo: github.com/IBM/causallib
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Feb 17, 2023
    I published my book "Trustworthy Machine Learning" exactly one year ago. Since then, there have been 837 paperback sales and countless people using the free pdf. I am pleased. trustworthymachinelearning.com
    10K
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Mar 22, 2024
    The @AIESConf 2024 call for papers has been posted. I'm one of the program chairs. Bay Area, October 21-23. Please submit your best work and spread the word.
    aies-conference.com
    AI, Ethics, and Society — Home
    15K
  • user avatar
    Kush Varshney कुश वार्ष्णेय
    @krvarshney
    Jun 3, 2022
    .@PramodKVarshne1 and @krvarshney will periodically hold free mentoring sessions on paths to research in academia and industry. All are welcome. The first session is June 9 2022 at 10:30 am EDT. Please spread the word. The Zoom link will be available from mementor.net/#/session/6296….
    Mentoring Session on Paths to Doing Research in Academia and Industry, and Life Thereof with Pramod K. Varshney and Kush R. Varshney

All are welcome

Thursday, June 9, 2022
10:30 am - 11:30 am EDT
Zoom link available from https://mementor.net/#/session/629649e5876a1662d240bd0c 30 minutes before the session