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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.

168,932 papers · 148 categories

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1 result for “MaxGap-bandit”
MaxGap Bandit: Adaptive Algorithms for Approximate Rankingstat.ML

Paper tackles adaptive sampling for identifying largest gaps between distributions.

problem Adaptive sampling from K distributions to identify the largest gap between any two adjacent means.
method Proposes elimination and UCB-style algorithms, showing minimax optimality.
result UCB-style algorithms require 6-8x fewer samples than non-adaptive sampling.
MaxGap-banditadaptive samplingapproximate rankingnoisy sortingoutlier detection
2019-06-03abs ↗pdf ↗