Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
New paper from @blei_lab member @EliWeinstein6 on manufacturing samples from generative protein models. The idea is to approximate a complex distribution with simpler ones that are easy to sample from in the real world, using stochastic chemical reactions.