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LaTeX tricks

8 minute read

Published:

Improve typesetting and save space in your submissions, who does not want that?

Markov

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algebra

announcements

Welcome to my journey!

less than 1 minute read

Published:

A PhD student’s casual journey with causal inference.

causality

cause

conditional-independence

confounding

d-separation

disentanglement

faithfulness

geometry

AMMI 3 Notes: Geometric priors I

15 minute read

Published:

In the previous post, we dived deep into abstract algebra to motivate why Geometric Deep Learning is an interesting topic. Now we begin the journey to show that it is also useful in practice. In summary, we know that symmetries constrain our hypothesis class, making learning simpler—indeed, they can make learning a tractable problem. How does this happen?

group

AMMI 3 Notes: Geometric priors I

15 minute read

Published:

In the previous post, we dived deep into abstract algebra to motivate why Geometric Deep Learning is an interesting topic. Now we begin the journey to show that it is also useful in practice. In summary, we know that symmetries constrain our hypothesis class, making learning simpler—indeed, they can make learning a tractable problem. How does this happen?

identifiability

intervention

latents

materials

LaTeX tricks

8 minute read

Published:

Improve typesetting and save space in your submissions, who does not want that?

pgm

prior

AMMI 3 Notes: Geometric priors I

15 minute read

Published:

In the previous post, we dived deep into abstract algebra to motivate why Geometric Deep Learning is an interesting topic. Now we begin the journey to show that it is also useful in practice. In summary, we know that symmetries constrain our hypothesis class, making learning simpler—indeed, they can make learning a tractable problem. How does this happen?

spuriousity

stability

statistics

writing

LaTeX tricks

8 minute read

Published:

Improve typesetting and save space in your submissions, who does not want that?