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2 changes: 1 addition & 1 deletion task1/readme.md
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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)