pml-teaching
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nipunbatra
h/t @Madhav-Kanda Slides not used: 1. Active-Learning (.pdf & .tex) 2. Bayesian Optimization (.pdf & .tex) 3. Bayesian Optimization (.pdf & .tex) 4. Information Theory (.pdf &.tex) 5. Neural-Processes (.pdf...
H/T @haikookhandor - [ ] There is some code common between map.ipynb and map_old.ipynb where map is a subset of the latter. Can be merged in one file. - [...
### What is the issue? * The [website page](https://nipunbatra.github.io/pml-teaching/) for this repo is generated with [quarto](https://quarto.org/). * Quarto renders notebooks nicely in HTML format e.g. [Active Learning](https://nipunbatra.github.io/pml-teaching/notebooks/active-learning.html). * Quarto needs...
Notebook link: https://github.com/nipunbatra/pml-teaching/blob/master/notebooks/variational-inference.ipynb - [ ] ADVI with coin toss - [ ] Large dataset with SVI - [ ] `sample` v/s `rsample` - [ ] Neural Net + VI...
Ref: https://www.youtube.com/watch?v=s4iFEoNlYhM Notebook: notebooks/siren.ipynb
- [ ] create folder structure for acquisition functions (@patel-zeel ) - [ ] Max. Entropy - Rishabh - [ ] BALD - Aditi - [ ] Max. variance ratios...
- Add an overarching figure - Add a figure for each of the problems - MLE - MAP - Bayesian with conjugate priors
Refer: https://avandekleut.github.io/vae/ and https://www.youtube.com/watch?v=VELQT1-hILo and https://github.com/AntixK/PyTorch-VAE/blob/master/README.md#--results
Use modAL; use MNIST or cats/dogs like dataset used in earlier issue.