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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 · Jan 201919922001200920182026
1 result for regime-free

Optimal semi-bandit algorithm for both stochastic and adversarial environments.

problem Optimal semi-bandit algorithm for both stochastic and adversarial environments.
method Developed a general semi-bandit algorithm that achieves O(logT)\mathcal{O}(\log T) regret for stochastic and O(T)\mathcal{O}(\sqrt{T}) regret for adversarial environments without regime or TT knowledge.
result First algorithm to achieve optimal O(logT)\mathcal{O}(\log T) and O(T)\mathcal{O}(\sqrt{T}) regret simultaneously for stochastic and adversarial environments.