Search Results for author:
Found 2 papers, 0 papers with code
Variational Boosted Soft Trees
Variational inference is often used to implement Bayesian neural networks, but is difficult to apply to GBMs, because the decision trees used as weak learners are non-differentiable.
Pathologies in priors and inference for Bayesian transformers
In recent years, the transformer has established itself as a workhorse in many applications ranging from natural language processing to reinforcement learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
