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Piyushi-0/README.md

πŸ™πŸ”±πŸ™

  • πŸ”­ I’m currently exploring some problems in DP in the context of OT.
  • 🌱 Trying to reserve dedicated slots for ltfp to go deeper in statistical ML.
  • ⌨️ Raschka's LLMs-from-scratch for my implementational practice.
  • 🀝 Looking to collaborate on AI-for-healthcare.
  • πŸ’ Looking for help with empirical evaluation of some of my OT-based research ideas.
  • πŸ“« How to reach me: cs18m20p100002*@*iith.ac.in.
  • Amusing Fact: The preface of ltfp has placed me 'right' πŸ™‚.

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  1. Fair-MAMAB Fair-MAMAB Public

    Code for our AAMAS '25 paper, 'Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness'.

    Jupyter Notebook 1

  2. Sparse-UOT Sparse-UOT Public

    Code for our ICML '24 paper, "Submodular framework for structured-sparse optimal transport".

    Python 2 1

  3. MMD-reg-OT MMD-reg-OT Public

    Code for our TMLR '24 Journal: MMD-Regularized UOT.

    Python 2 1

  4. ACE ACE Public

    Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.

    Jupyter Notebook 51 20

  5. SEA-NN SEA-NN Public

    Code for our AISTATS '22 paper: Improving Attribution Methods by Learning Submodular Functions.

    Jupyter Notebook 1 1

  6. my-understanding-of-ML-Theory my-understanding-of-ML-Theory Public

    6