Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

assign task #3

Open
wants to merge 1 commit into
base: main-23
Choose a base branch
from
Open

assign task #3

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion task1/readme.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ Estimate quality of approximation, speed of approximation, and KL divergence bet
* [hyperparameter optimization](http://strijov.com/papers/HyperOptimizationEng.pdf)
* Visualization: [help1](https://matplotlib.org/stable/users/interactive.html),[help2](https://stackoverflow.com/questions/44329068/jupyter-notebook-interactive-plot-with-widgets),[help3](https://towardsdatascience.com/matplotlib-animations-in-jupyter-notebook-4422e4f0e389)

8. [Reporter: enter your name] Compare approximation with Laplace approximation, Variational inference and Expectation propagation for:
8. [Reporter: Timofey Chernikov] Compare approximation with Laplace approximation, Variational inference and Expectation propagation for:
- Gaussian mixture (visualize for different parameters of mixture)
- Beta-distribution with a and beta < 1 (visualize for different parameters)
* [Bishop: describes all the methods](https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf)