Sunday, September 24, 2017
In tw's meeting we'll discuss non parametric estimating a CDF and its relation to learning - see https://drive.google.com/drive/folders/0BzUXUMab8u_ZQ0J3bGVWeHFsTjg?usp=sharing for details.
Under the Bayesian setting, probabilities represent our brief on the state of the world which we can update incrementally after each experim...
We'll continue with convex optimization - https://drive.google.com/drive/folders/0BzUXUMab8u_ZU0h3ZEc5Z2VrMm8
Bayesian inference recording . For more details see chapter 24 in the understanding book.
Back to Bayesian inference - https://drive.google.com/file/d/1NUioDotuKeA8kKg341qRjyUESnUjxkos/view?usp=sharing