The algorithms used to train neural networks, like stochastic gradient
d...
Maximum a posteriori (MAP) estimation, like all Bayesian methods, depend...
This paper develops Principal Trade-off Analysis (PTA), a decomposition
...
This paper introduces a computational framework to incorporate flexible
...
Hierarchical models with gamma hyperpriors provide a flexible,
sparse-pr...