Bibliography (9):

1. What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

2. Who Models the Models That Model Models? An Exploration of GPT-3’s In-Context Model Fitting Ability

3. TabPFN: Meta-Learning a Real-Time Tabular AutoML Method For Small Data

4. https://github.com/automl/TransformersCanDoBayesianInference

5. Wikipedia Bibliography:

   1. Bayesian statistics

   2. Prior probability

   3. https://en.wikipedia.org/wiki/Approximate_inference  :

      https://en.wikipedia.org/wiki/Approximate_inference

   4. Gaussian process

   5. https://en.wikipedia.org/wiki/Neural_network_Gaussian_process  :

      https://en.wikipedia.org/wiki/Neural_network_Gaussian_process