In this discussion note, we respond to the fascinating paper "Martingale...
Model calibration, which is concerned with how frequently the model pred...
In this work, we study the Neural Tangent Kernel (NTK) of Matrix Product...
The standard method to check for the independence of two real-valued ran...
The Central Limit Theorem (CLT) is at the heart of a great deal of
appli...
In this work, we investigate the universal representation capacity of th...
Gaussian Process is a non-parametric prior which can be understood as a
...
Bayesian learning is a powerful learning framework which combines the
ex...
We wish to contribute to the discussion of "Comparing Consensus Monte Ca...
Latent Dirichlet Allocation (LDA) is a topic model widely used in natura...