Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits

Documenti analoghi

• Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits
  di: Werge, Nicklas, et al.
  Pubblicazione: (2023)
• Linear Bandits on Ellipsoids: Minimax Optimal Algorithms
  di: Zhang, Raymond, et al.
  Pubblicazione: (2025)
• Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
  di: Liu, Ziyi, et al.
  Pubblicazione: (2024)
• Active Learning for Stochastic Contextual Linear Bandits
  di: Brunskill, Emma, et al.
  Pubblicazione: (2026)
• Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
  di: Elmachtoub, Adam N., et al.
  Pubblicazione: (2023)