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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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ordavidov/README.md

Hi, I’m Orit Davidovich. I work at IBM as an applied math research scientist.
I spend my days thinking about data-driven optimzation, while experimenting in hands-on ways.
I often spend a considerable amount of time thinking about how best to deploy and distribute stuff on a cluster.
You can reach me at orit.davidovich at ibm.com

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  1. ocl_lab ocl_lab Public

    Optimization with Constraint Learning (OCL) Lab

    Jupyter Notebook 12 3

  2. robust_mean_estimation robust_mean_estimation Public

    Scripts following Hopkins, Li, and Zhang's Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization.

    Jupyter Notebook

  3. project-codeflare/rayvens project-codeflare/rayvens Public

    Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.

    Python 45 7

  4. IBM/doframework IBM/doframework Public

    A Testing Framework for Decision-Optimization Model Learning Algorithms

    Jupyter Notebook 4 1

  5. IBM/IBM-Extended-Markov-Ratio-Decision-Process IBM/IBM-Extended-Markov-Ratio-Decision-Process Public

    This repo includes code referenced in the paper A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning by Alexander Zadorojniy, Takayuki Osogami, a…

    Jupyter Notebook 4