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Achievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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Achievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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sdeepaknarayanan/README.md

Hi there 👋

I am a graduate student at ETH Zurich.

My research interests are in high-dimensional statistics, optimization, and theoretical computer science with a particular focus on understanding the computational complexity of statistical inference. I am also interested in robustness in learning (from a theoretical perspective).

Feel free to ping me at dsridharan[AT]ethz.ch if you are interested in discussing or collaborating with me on the above topics.

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  1. iglu iglu Public

    Code for our ICLR 2022 Paper IGLU: EffIcient Training of GCNs using Lazy Updates

    Python 4

  2. activepm activepm Public

    Codes and results for ICML 2020 RealML Workshop Paper Active learning for Air Quality Station Deployment

    Jupyter Notebook 3 1

  3. AssembleSoftware/IoTPy AssembleSoftware/IoTPy Public

    Python for streams

    Python 24 8

  4. varungohil/Generalizing-Lottery-Tickets varungohil/Generalizing-Lottery-Tickets Public

    This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"

    Jupyter Notebook 51 9