2007/08/10 by Vladimir Vovk, Vovk, Vladimir · 14 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Advice (programming) #Artificial intelligence #Computer science #Data science #Engineering #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine learning #Operations research #Reinforcement Learning in Robotics #cs.LG
paper · pdf · doi:10.48550/arxiv.0708.1503
published in arXiv (Cornell University) (Cornell University) · 14 pages
arxiv created 2007/08/10 · openalex publication_date 2007/08/10 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/08
The method of defensive forecasting is applied to the problem of prediction with expert advice for binary outcomes. It turns out that defensive forecasting is not only competitive with the Aggregating Algorithm but also handles the case of "second-guessing" experts, whose advice depends on the learner's prediction; this paper assumes that the dependence on the learner's prediction is continuous.