Rezultati pretraživanja
  1. 20. sij

    Everything prepared for the Causal Machine Learning Workshop . Looking forward to a great program (see ) with Keynotes by and Stefan Wager 12 Presentations 16 Posters with

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  2. 12. pro 2019.

    Hi folks, and I are writing a book, tentatively titled "Causal Reasoning: Fundamentals and Machine Learning Applications". The first draft of Ch1 is up and we're looking for your feedback. Ch. 1 is a high-level intro to key topics:

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  3. 3. sij

    0.6.0 has been released earlier this week with major improvements on tree-based uplift algorithms 🎄: Special thanks to new community contributors, , Peter Foley & Tomasz Zamacinski. Enjoy~! 😎

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  4. I am looking for PhD students, especially in but not limited to , , , , including & . Learn more at . If you're interested apply at

  5. 12. stu 2019.

    Research internship openings at Microsoft Research AI! Come work with us! I'm looking for PhD students w/experience in , , and excited by fundamental challenges inspired by real-world problems.

  6. 22. sij

    Thanks to all the participants for a intense but very productive workshop. I hope you all had/have a save trip home and could digest the new inputs as well as the cheese fondue.

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  7. Due to the generous support of foundations & companies we will have additional PhD openings in for computer code and , , , , , , . More at

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  8. 21. lis 2019.

    0.4.0 has been released with support for (1) uplift tree visualization, (2) SHAP, permutation, gain feature importances for meta-learners, (3) bootstrap CIs for ATE (in addition to ITE). Enjoy! ;)

  9. 17. ruj 2019.

    0.3.0 is released. Updates include support for multiple treatments and classification for meta-learners, Qini curves and score functions, XGBRRegressor w/ early stopping and ranking optimization. Enjoy! ;)

  10. 2. velj

    A great survey paper on causality that can be used as a handbook for people starting out! Builds concepts from both structural causal models and potential outcomes framework

  11. 26. sij

    因果推論の発展で、マーケティング施策のターゲットとして一番リフトの大きいユーザーセグメントを発見するためのもの 

  12. 22. sij
  13. 20. sij

    Time for the first keynote and

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  14. 20. sij

    Starting with on adaptive treatment in experiments for policy choice

  15. 15. sij

    Stay tuned for the call for submissions and updates to our workshop "Causal Learning for Decision Making" at Jointly organised by , and

  16. 4. sij

    Check out the latest release of the package with improvements on tree-based methods.

  17. 31. pro 2019.

    My 2010s 2/3 - - got CS PhD to change career - started 3 startups: 1 closed after interview, 1 went public, 1 closed after $14M+ funding - joined 2 startups & 2 big tech companies - released 2 OSS: &

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  18. 30. pro 2019.
    Odgovor korisniku/ci
  19. 14. pro 2019.

    Appropos Bengio's talk at , here's a great summary on applying causal reasoning for machine learning problems like generalization and adversarial robustness by

  20. 14. pro 2019.

    Looking fwd to present our work on *Optim. targeting policies via seq. experimentation* (joint w/ ) @ wkshp @ today! [Highly complimentary agenda to that of *Safe & Robust Dec. making* wkshp yesterday]

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