leachim

2019-05-13 21:02:26 - [sway/main.c:151] Linux hostname 5.1.0 #1 SMP Mon May 6 20:38:38 EDT 2019 x86_64 GNU/Linux
2019-05-13 21:02:26 - [sway/main.c:167] Contents of /etc/os-release:
2019-05-13 21:02:26 - [sway/main.c:151] PRETTY_NAME="Debian GNU/Linux buster/sid"
2019-05-13 21:02:26 - [sway/main.c:151] NAME="Debian GNU/Linux"
2019-05-13 21:02:26 - [sway/main.c:151] ID=debian
2019-05-13 21:02:26 - [sway/main.c:151] HOME_URL="https://www.debian.org/"
2019-05-13 21:02:26 - [sway/main.c:151] SUPPORT_URL="https://www.debian.org/support"
2019-05-13 21:02:26 - [sway/main.c:151] BUG_REPORT_URL="https://bugs.debian.org/"
2019-05-13 21:02:26 - [sway/main.c:167] Contents of /etc/debian_version:
2019-05-13 21:02:26 - [sway/main.c:151] buster/sid

leachim

GSoc 2021 - Turing.jl case studies for Latent Variable Models

Contributions

My contribution during GSoC 2021 is two case studies for using Turing.jl with Latent Variable Models. The models I have implemented are probabilistic PCA and Gaussian Process Latent Variable Models and a few extensions of these models. Each one is documented in a separate Github pull request (see links below).

probabilistic PCA

• Basic tutorial and model (https://www.robots.ox.ac.uk/~cvrg/hilary2006/ppca.pdf)
• Automatic Relevance Determination (Bishop, C.M., 2006. Machine learning and pattern recognition. Information science and statistics. Springer, Heidelberg; Chapter 12.2.3 (and Chapter 7.2.2))
• Residual PCA (demonstrating removal of batch effects) (https://arxiv.org/abs/1106.4333)