4 ms·
What do you think about a bayesian interpretation of the above as MAP/MLE? https://arxiv.org/abs/1706.00473 https://arxiv.org/abs/1706.00473
by Gtifn 9y ago
What do you think about a bayesian interpretation of the above as MAP/MLE?
https://arxiv.org/abs/1706.00473 https://arxiv.org/abs/1706.00473
- kxyvr 9y agoUnless I'm missing something, and I likely am, the linked paper is still based on the the fundamental assumptions behind curve fitting that I listed above. Namely, their optimization algorithms, metrics, and models are still based on Hilbert spaces even though they've added stochastic elements and more sophisticated models.
- nerdponx 9y agoInteresting abstract. I love Bayesian stats so hopefully this will be a fun commute read. Thanks!