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alextp

HN member
Joined
Thu, Aug 23, 2007, 5:11 PM UTC
HN karma
1,485
Public activity
361 items

About alextp

@atpassos_ml

http://www.ic.unicamp.br/~tachard/

Recent public activity

  1. comment
    Comment #48980730

    When claire stopped writing the tgif emails I was very sad, among others I talked to. When I heard, years later, about all this bs she went through, it helped crack the illusion fo…

  2. comment
    Comment #48235092

    The flip side is redistributive pensions require an ever growing population and most European pension systems will go bankrupt within a couple of decades given current birth and im…

  3. comment
    Comment #31020846

    Choose the top N according to the proxy objective and then use the real objective to choose the best out of those N candidates.

  4. comment
    Comment #20935079

    Claire deWitt and the city of the dead, by Sara Gran is a good example. Very colorful language. Also the first volumes of the Berlin Noir "trilogy".

  5. comment
    Comment #20235533

    How is brain separate from the rest of google?

  6. comment
    Comment #18869896

    The historic picture makes a little more sense (though this is not something a 5yo would understand). We call these things embeddings because you start with a very high dimensional…

  7. comment
    Comment #17554068

    I've contributed to autograph and would love to answer any questions.

  8. comment
    Comment #16082286

    Cool! Did you try using tensorflow's eager execution?

  9. comment
    Comment #15598439

    I think Keras is a real deal framework. It provides a higher-level API than most other frameworks, but it has pretty sweet portability of models across frameworks and platforms and…

  10. comment
    Comment #15598435

    We're still fairly early in the project, so for now threading is the only supported way. We can do better, however, and we're working on ways to leverage the hardware better (for e…

  11. comment
    Comment #15595872

    Ah, I didn't know SavedModel didn't work in android. I think freezing is still the way to go there? I'm sorry, I don't personally work on the mobile side of things.

  12. comment
    Comment #15595739

    Did you try using SavedModel? It should be seamless to use downstream with tensorflow serving and it's not that hard to get estimators to spit those out.

  13. comment
    Comment #15595272

    You can read out more about it in the blog post ( https://research.googleblog.com/2017/10/eager-execution-impe... ) or the README ( https://github.com/tensorflow/tensorflow/tree/ma…

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  15. comment
    Comment #7954356

    I write tests not to convince myself my code is correct (it often is, and repl and ad-hoc testing are more than enough to make sure it does the right thing now) but to prevent myse…

  16. comment
    Comment #6786190

    The averaged perceptron is the one to which the proof applies :-)

  17. comment
    Comment #6774786

    Regarding the perceptron, most modern texts also have a regret analysis for the perceptron, which coupled with an online-to-batch conversion tells you how well do you expect a perc…

  18. comment
    Comment #6756180

    ML PhD student here. The reason why this is different is that the parallel monte carlo simulations are running on different subsets of the data in each machine, and then averaged. …

  19. comment
    Comment #5414612

    Honestly, more people should use stabilizer http://plasma.cs.umass.edu/emery/stabilizer . The best can still be an outlier.

  20. comment
    Comment #5145414

    Fun fact: this is pretty much the same dynamic program as CKY, the parsing algorithm that can parse any context-free language in the appropriate normal form (only productions looki…

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  22. comment
    Comment #5016194

    The fallacy behind arguments like this is that when someone says that we're "proposing to push people to speak at conferences who aren't necessarily the most knowledgeable speakers…

  23. comment
    Comment #4832521

    A foot a second is off by several orders of magnitude. It's closer to 300 thousand km per second in vacuum, and around 200 thousand km per second in fiber.

  24. comment
    Comment #4766568

    The above construction is a not a breakthrough and it is how I was taught in my approximate algorithms class. Also the way the optimization problem is usually defined is not as "gi…

  25. comment
    Comment #4402520

    A temp agency?