'Learning-augmented count-min sketches via Bayesian nonparametrics', by Emanuele Dolera, Stefano Favaro, Stefano Peluchetti.

http://jmlr.org/papers/v24/21-0096.html

#priors #nonparametrics #nonparametric

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

Ok, I’m finally going start making a blog and writing posts about topics related to #tractability #BayesianInference #nonparametrics and #deeplearing.