Researchers Alireza Furutanpey and Ruevo ny have published a paper on arXiv detailing the geometry of randomized smoothing on feasible sets. Their work introduces a method to certify label probabilities by filtering proposals, which can lead to certifying balls containing decision boundaries. The paper separates the problem into geometric and certification questions, exploring how conditioning preserves Gaussian comparisons and the implications for certification radii. AI
RANK_REASON The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
- Alireza Furutanpey
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gaussian function
- Gotit.pub
- Hugging Face
- IArxiv
- Ruevo ny
- ScienceCast
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