Efficient and Adaptive Posterior Sampling Algorithms for Bandits.
Bingshan HuZhiming HuangTianyue H. ZhangMathias LécuyerNidhi HegdePublished in: CoRR (2024)
Keyphrases
- highly scalable
- computationally expensive
- sampling algorithm
- computationally efficient
- computationally intensive
- complexity analysis
- theoretical analysis
- learning algorithm
- uniform sampling
- computationally demanding
- adaptive algorithms
- parallel architectures
- markov chain monte carlo
- efficient implementation
- benchmark datasets
- computational cost
- highly efficient
- orders of magnitude
- efficient solutions
- recursive least squares
- worst case
- algorithmic solutions
- computationally complex
- neural network
- multi armed bandit