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Best of Both Worlds:Regret Minimization versus Minimax Play

20260 citationsJournal Article

Authors

Stratis Skoulakis

Adrian Müller · ETH Zurich

Luca Viano · École Polytechnique Fédérale de Lausanne

Volkan Cevher · École Polytechnique Fédérale de Lausanne

Jon Scheider · Google (United States)

Topics & Keywords

Advanced Bandit Algorithms Research Machine Learning and Algorithms Stochastic Gradient Optimization Techniques

Publication Details

Field-Weighted Citation Impact: 0.00

Best of Both Worlds:Regret Minimization versus Minimax Play | Researchclopedia