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11 - 15 of 15 search results for KaKaoTalk:vb20 200 |u:mlg.eng.cam.ac.uk where 0 match all words and 15 match some words.

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  2. Ode to an ODE Krzysztof Choromanski ∗Robotics at Google ...

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS20-ODEtoODE.pdf
    19 Jun 2024: Inall experiments we used k = 200 perturbations per iteration [15]. ... mentioned above, in allexperiments we used k = 200).

  3. Blind Justice: Fairness with Encrypted Sensitive Attributes

    https://mlg.eng.cam.ac.uk/adrian/ICML18-BlindJustice.pdf
    19 Jun 2024: Blind Justice: Fairness with Encrypted Sensitive Attributes. Niki Kilbertus 1 2 Adrià Gascón 3 4 Matt Kusner 3 4 Michael Veale 5 Krishna P. Gummadi 6 Adrian Weller 2 3. AbstractRecent work has explored how to train machinelearning models which

  4. You Shouldn’t Trust Me: Learning Models WhichConceal Unfairness From…

    https://mlg.eng.cam.ac.uk/adrian/ECAI20-You_Shouldn%E2%80%99t_Trust_Me.pdf
    19 Jun 2024: 373 10.573 6.200 0.9 2.5 14.3 0.0 4029.1 28.6 1.2 0.0SHAP 3.7 12.9 9.2 4.499 12.027

  5. Leader Stochastic Gradient Descent for DistributedTraining of Deep…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS2019_LSGD_preprint.pdf
    19 Jun 2024: Leader Stochastic Gradient Descent for DistributedTraining of Deep Learning Models. Yunfei Teng,1yt1208@nyu.edu. Wenbo Gao,2wg2279@columbia.edu. Francois Chaluschalusf3@gmail.com. Anna Choromanskaac5455@nyu.edu. Donald Goldfarbgoldfarb@columbia.edu.

  6. Methods for Inference in Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf
    19 Jun 2024: Methods for Inference in Graphical Models. Adrian Weller. Submitted in partial fulfillment of the. requirements for the degree. of Doctor of Philosophy. in the Graduate School of Arts and Sciences. COLUMBIA UNIVERSITY. 2014. c2014. Adrian Weller.

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