Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method

K. Thekumparampil, G. Hiranandani, Kousha Kalantari, Shoham Sabach, B. Kveton
2/14/2026

No official code found. Best implementation: tkkiran/DopeWolfe (0 stars, MIT, last commit 2025-07-15).

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Code Implementations(1)

tkkiran/DopeWolfeCommunity64%
MIT

Code for reproducing the experiments in the paper, "Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method", K Thekumparampil, G Hiranandani, K Kalantari, S Sabach, B Kveton, ICML 2025

00Python, Jupyter NotebookJun 6, 20251 years agoMIT

Cite this paper

@article{thekumparampil2026comparing,
  title  = {Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method},
  author = {K. Thekumparampil and G. Hiranandani and Kousha Kalantari and Shoham Sabach and B. Kveton},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:c49e901ed8f6f391a9c2d32ffa75217436579eab},
  journal = {ICML 2025 2025}
}

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