I liked Neil's talks very much. One of reasons is that he occasionally introduced some historical stories in math and how certain model was conceived hundreds of years ago, which reminds me of the saying "standing on the shoulders of giants".
Some bullets that Neil mentioned but not elaborated: - Neil's review paper about (MDS, LLE, ISOMAP, Kernel PCA) ~ Gaussian process - 11:46 why is probabilistic PCA difficult to be non-linearized?
I liked Neil's talks very much. One of reasons is that he occasionally introduced some historical stories in math and how certain model was conceived hundreds of years ago, which reminds me of the saying "standing on the shoulders of giants".
Oh my god. I'm just reading your paper and searching for what is Latent Variable Models. And I found this that so awesome.
Some bullets that Neil mentioned but not elaborated:
- Neil's review paper about (MDS, LLE, ISOMAP, Kernel PCA) ~ Gaussian process
- 11:46 why is probabilistic PCA difficult to be non-linearized?
Speaks like a statistician!