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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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0111 · Feb 202219922001200920172026
1 result for “hint-adversaries”
Oracle-Efficient Online Learning for Beyond Worst-Case Adversariescs.LG

Oracle-efficient algorithms for online learning with smoothed and hint-adversaries.

problem Online learning with beyond worst-case adversaries.
method Oracle-efficient algorithms for two settings: smoothed analysis and KK-hint transductive learning.
result Oracle-efficient regret bounds for learning real-valued and binary-valued functions.
online learningsmoothed analysishint-adversariesoracle-efficientregret bounds
2022-02-17abs ↗pdf ↗