Helena Stegherr

Universität Augsburg

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Publication activitypapers/week, last 8 weeks

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Eval Frameworks & Benchmarks (1)Training Efficiency & Optimization (1)

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Jonathan Wurth (1)Neele Kemper (1)Michael Heider (1)Jörg Hähner (1)

Papers (1)

Mar 9, 2026

Universität Augsburg1w ago

Pareto-Optimal Anytime Algorithms via Bayesian Racing

Stop hand-waving about "anytime performance": PolarBear adaptively samples algorithms and uses Bayesian ranking to give you the Pareto-optimal set, ready for deployment under any time budget.

Jonathan Wurth, Helena Stegherr, Neele Kemper +2

Eval Frameworks & Benchmarks Training Efficiency & Optimization

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Helena Stegherr

Publication activitypapers/week, last 8 weeks

Research focus

Frequent co-authors

Papers (1)