Rezultati pretraživanja
  1. 29. srp 2019.

    The Call for Papers for is out at The submission deadline is 8 October 2019. The conference will be held in Palermo, Italy, from 3 to 5 June 2020.

  2. 7. sij

    Delighted to have a paper accepted for . I guess that's the Summer holiday destination decided then 😋

  3. 7. lis 2019.

    Don't forget to submit to , which will take place in Palermo, Italy June 3 - 5, 2020. Submit: **DEADLINE**: Tuesday, October 8, 2019 @ 23:59 PDT CFP:

  4. 17. sij

    Exciting work with , , and on scaling inference in GP models by merging the sparse variational and the SDE approaches. Trick: state inducing features ➡️ O((M+N)d^3) scaling!

  5. 3. srp 2019.

    I am going to be Family Chair for (in Palermo, Italy, early June)! Please help me/us do a good job: if you are planning to attend and would consider taking your kids, (or if you simply think you have valuable advice) please reach out to me in direct messages. Thanks

  6. 7. sij

    here we go! Filling gaps between UCB and Thompson Sampling with Randomized UCB: Featuring , Abbas Mehrabian, and Branislav Kveton

  7. 8. lis 2019.

    Good luck to everyone submitting to !

  8. 22. lis 2019.

    Eager to welcome you for AISTATS 2020 in , June 3-5.

  9. 16. stu 2019.

    If your paper has used up all of the Greek letters and you start reusing some of those letters, you're doing something wrong. Or at least you're doing wrong by your reviewers!

  10. 9. sij

    There's an important difference between decisions and predictions, especially when it comes to fairness. Check out our paper "Fair Decisions Despite Imperfect Predictions" with Isabel Valera

  11. Check out our paper at "Distributionally Robust Bayesian Quadrature Optimization". Great work and supervision team Ci vediamo a Palermo!

  12. 5. velj

    Probably not feasible for , but hopefully remote paper and poster presentations will be allowed from next edition!

  13. 1. velj

    Are generative models sensitive to adversarial attacks? The answer is yes (at least for flow-based models)! For details check out our paper: This is a joint work with students Phillip Pope and Yogesh Balaji.

    Prikaži ovu nit
  14. 24. sij

    Reach out to our sponsorship chair if you are interested in sponsoring AISTATS 2020.

  15. 16. sij
    Odgovor korisnicima

    Congrats to Quentin Bertrand and for their recent paper. Lucky to supervise such great students with . A presto a Palermo!

  16. 16. sij

    I am very proud of this initiative, and I hope we will be able inspire other ML conferences to follow the same path!

  17. 14. sij

    RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders. (arXiv:2001.04197v1 [cs\.LG])

  18. 14. sij

    POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning. (arXiv:2001.04032v1 [stat\.ML])

  19. 13. sij

    Check out our new paper at : "Amortized Inference of Variational Bounds for Learning Noisy-OR" by Yiming Yan, Melissa Ailem, and

  20. 9. sij

    "Black-box inference for non-linear latent force models" has been accepted to We propose an algorithm based on inverse autoregressive flows for posterior inference in non-linear latent force models. With and Tom Ryder.

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