01 / prediction
Bayesian marginalization can be very helpful in encoding an automatic simplicity bias in what we do. And so there are all sorts of interventions that will help us with this, but I think the dream is that maybe we can embrace flexibility in 15, 20 years from now by building these non parametric models that like really do have an infinite number of parameters and are more expressive than any model we're using right now.
“Bayesian marginalization can be very helpful in encoding an automatic simplicity bias in what we do. And so there are all sorts of interventions that will help us with this, but I think the dream is that maybe we can embrace flexibility in 15, 20 years from now by building these non parametric models that like really do have an infinite number of parameters and are more expressive than any model we're using right now.”
- Speaker
- Andrew Gordon Wilson
- Publisher
- Machine Learning Street Talk