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No-Regret M-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting

Taihei Oki, Hokkaido University, Hokkaido, Japan, oki@icredd.hokudai.ac.jp "3026 Shinsaku Sakaue[1], The University of Tokyo and RIKEN AIP, Tokyo, Japan, sakaue@mist.i.u-tokyo.ac.jp

Oct-10-2025, 04:59:07 GMT–Neural Information Processing Systems 

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  artificial intelligence, data mining, machine learning, (18 more...)

Neural Information Processing Systems

Oct-10-2025, 04:59:07 GMT

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  • Country:
    • Asia > Japan
      • Hokkaidō (0.04)
      • Honshū > Kantō
        • Tokyo Metropolis Prefecture > Tokyo (0.14)
    • Europe > United Kingdom
      • England > Cambridgeshire > Cambridge (0.04)
    • North America > United States
      • Nevada > Clark County > Las Vegas (0.04)
  • Genre:
    • Research Report > Experimental Study (0.93)
  • Technology:
    • Information Technology
      • Artificial Intelligence
        • Machine Learning (1.00)
        • Representation & Reasoning > Optimization (0.93)
      • Data Science > Data Mining
        • Big Data (0.83)

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