3min chapter

The Thesis Review cover image

[13] Adji Bousso Dieng - Deep Probabilistic Graphical Modeling

The Thesis Review

CHAPTER

Variational Inference: A Standard Method for Training

I like variational inference in that it's modular, but also because it's optimization based and I was familiar with that. So my work was on choosing a different divergence that than what was being used at the time to minimize an upper bound of the log marginal likelihood of the data. And yeah, having an algorithm that minimizes that is the first thing, but then a mortisation came in that deviating me a little bit from looking further into approximate inference algorithms.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode