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One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees.

Jinglin PengBolin DingJiannan WangKai ZengJingren Zhou
Published in: SIGMOD Conference (2022)
Keyphrases
  • theoretical guarantees
  • monte carlo
  • learning algorithm
  • decision making
  • lower bound
  • least squares
  • markov chain