#tractable — Public Fediverse posts

Finally, I managed to write another blog post. In the post I am essentially talking about works (mostly) by Alessandro Rudi and coauthors on #tractable #probabilistic models such as #mixtures with #negative parameters.

Check out: https://trappmartin.github.io/website/post/2023_06_snf/

I will likely go into details of some of the aspects of this new family of models in follow up posts.

Let me know what you think about the blog post. Too high level or just right? Or any other feedback?

I'm back in Helsinki and super excited about my course on #tractable #probabilistic modelling at #aaltouniversity! Looking forward to explore the space and limitations of #tractable computations in #probabilisticmodels with students.

Because I moved instances some time ago, a short re-#introduction.

I am a postdoctoral researcher at Aalto University studying topics at the intersection of #tractable models (probabilistic circuits), #deeplearning, and #Bayesian methods with a focus on #nonparametrics. My goal is to develop and understand methods that are highly flexible & adaptive but allow tractable probabilistic inferences. I do a lot of #Bayesian stuff and care strongly about priors.

See: https://trappmartin.github.io

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