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  1. Prikvačeni tweet
    26. sij

    2020 is the "year of the gradient" at ALT, with talks like: - "The Unreasonable Effectiveness of Gradient Descent" by John Lafferty - "Winnowing with Gradient Descent" by Manfred Warmuth - "Stochastic Calculus in Machine Learning: Optimization, Sampling, Simulation" by

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  2. 1. velj

    indeed, the ALT 2020 proceedings are now online. thanks to all authors and reviewers for their hard work!! join us in San Diego next week to learn about all the great work appearing in this volume!

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  3. 31. sij

    tagging who just registered on twitter to like this photo. everyone, please welcome Gábor!!!

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  4. 31. sij

    **exclusive twitter-only content:** the figure we tried to paste into the paper to illustrate the key proof idea, but couldn't manage to do so in overleaf :P enjoy!

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  5. 30. sij

    ... all without requiring that the cost of abstention be very small: it only needs to be slightly smaller than the cost of predicting a random label.

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  6. 30. sij

    is it possible to gain anything by abstaining from prediction in online learning? our new paper with the brilliant Nikita Zhivotovskiy shows for the first time (?) that MASSIVE improvements are possible!

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  7. 29. sij

    such a warm fuzzy feeling, like watching your favorite movie the 1000th time

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  8. 29. sij

    stress management ahead of the COLT deadline: watching Gábor "Metal God" Lugosi talk about symmetrization

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  9. 26. sij

    ... and I'm sure there'll be more gradients in the deep learning tutorial of at the joint ITA + ALT = ITALT day

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  10. 26. sij
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  11. 25. sij

    for comparison, this is me when i see stuff like "... as shown by (Cover, 1965)", or "...also exists in the literature Hannan (1957); Blackwell (1956)"

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  12. 25. sij

    TFW your coauthor finally learns how to use natbib

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  13. 21. sij

    does anyone actually like working in overleaf? or does everyone assume that their coauthors like it so they put up with the BS? so let me clear it up for my coauthors: i hate overleaf.

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  14. 15. sij

    the ALT main program itself is just as cool (if not even cooler): Tutorials by Max Raginsky (), Jelani Nelson () Invited talks by Manfred Warmuth, Dafna Shahaf, John Lafferty if you're around for ITA, why not stick around for ALT?

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  15. 15. sij

    ***spread the word!!!*** ITA and ALT team up for a joint symposium day on Feb 8!! Tutorials by Russ Salakhutdinov (), Alex Slivkins & Bobby Kleinberg Talks by Peter D. Grünwald and Cosma Shalizi () Register to ALT and attend:

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  16. 11. sij

    ... - get lucky with your postdoc advisor - get lucky being invited to give talks all over the place - get lucky publishing some more - get lucky and win some awards it's actually enough to follow 80% of this advice and you'll never fail. easy, right?

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  17. 11. sij

    now that's some useless vague advice! here's a recipe that anyone can follow: - get lucky finding your advisor, a scholarship, and a good research topic - get lucky publishing your papers on the first try - keep bumping into people that appreciate your work and support you...

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  18. 8. sij

    pls rate my gear

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  19. 8. sij

    christmas came late this year, but it was worth the wait!

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  20. 8. sij

    ALT 2020 is just around the corner!!! We invite **contributed posters** presenting preliminary and/or recently published work. D/L: Jan 15. See the amazing accepted papers here: Registration:

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