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Piyushi-0/README.md

πŸ™πŸ”±πŸ™

  • πŸ”­ I’m currently trying on problems in DP and Stochastic Optimization in the context of OT. I've found that theoretical problems in online learning resonate the most with me. Hope to finish my reading list before I switch completely.
  • 🌱 Books that I’m currently targeting are MARL & Statistical OT.
  • ⌨️ 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 a great placement for my name πŸ™‚.

Pinned Loading

  1. Sparse-UOT Sparse-UOT Public

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

    Python 2 1

  2. MMD-reg-OT MMD-reg-OT Public

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

    Python 2 1

  3. ACE ACE Public

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

    Jupyter Notebook 51 20

  4. SEA-NN SEA-NN Public

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

    Jupyter Notebook 1 1

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

    6

  6. My_codes-Misc My_codes-Misc Public

    Some of my codes.

    Jupyter Notebook