Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
Joseph Jay WilliamsJacob NogasNina DeliuHammad ShaikhSofia S. VillarAudrey DurandAnna N. RaffertyPublished in: CoRR (2021)
Keyphrases
- statistical analysis
- input data
- data sets
- raw data
- k means
- data reduction
- data analysis
- database
- statistical methods
- data collection
- prior information
- knowledge discovery
- learning algorithm
- data structure
- information loss
- noisy data
- expectation maximization
- worst case
- data mining techniques
- synthetic data
- probabilistic model
- dynamic programming
- computational complexity
- dimensional data
- online learning
- genetic algorithm
- missing data
- matching algorithm
- computational cost
- preprocessing
- optimal solution
- control parameters