PDE approach to the problem of online prediction with expert advice: a construction of potential-based strategies
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Abstract (arXiv)
We consider a sequence of repeated prediction games and formally pass to the limit. The supersolutions of the resulting non-linear parabolic partial differential equation are closely related to the potential functions in the sense of N.,Cesa-Bianci, G.,Lugosi (2003). Any such supersolution gives an upper bound for forecaster's regret and suggests a potential-based prediction strategy, satisfying the Blackwell condition. A conventional upper bound for the worst-case regret is justified by a simple verification argument.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 May 2017.
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Citing papers per year: 2022: 3; 2023: 0; 2024: 1.
4 papers.
- 2022PDE-Based Optimal Strategy for Unconstrained Online Learningcited by 27
- 2022Optimal Comparator Adaptive Online Learning with Switching Costcited by 9
- 2022A PDE-Based Analysis of the Symmetric Two-Armed Bernoulli Banditcited by 3
- 2024Numerical solution of a PDE arising from prediction with expert advicecited by 3
- 2024Numerical solution of a PDE arising from prediction with expert advice9 Jun 2024
- 2022Optimal Comparator Adaptive Online Learning with Switching Cost13 May 2022
- 2022A PDE-Based Analysis of the Symmetric Two-Armed Bernoulli Bandit11 Feb 2022
- 2022PDE-Based Optimal Strategy for Unconstrained Online Learning19 Jan 2022