This page lists short notes I have written up for courses offered at Gatsby Unit, UCL, either to provide missing proofs and results or to reconcile them with what I have learned from Cambridge Mathematics. Suggestions and corrections welcome at kevin.huang.han.work[at]gmail.com.
Probabilistic and Unsupervised Learning (2020)
Lectured by Prof. Peter Orbanz
- Supplementary note on proof for Jensen’s inequality (1D real and n-D real)
Reproducing kernel Hilbert spaces in Machine Learning (2020)
Lectured by Prof. Arthur Gretton