104 citations · 211 across the 13 of their papers we have counts for
Showing 2022 · cs.LGShow all
2 papers · 2 filters
cs.LG2022
Foundation Posteriors for Approximate Probabilistic Inference
Mike Wu, Noah Goodman
Probabilistic programs provide an expressive representation language for generative models. Given a probabilistic program, we are interested in the task of posterior inference: est…
cs.LG2022★ 1 cited
Know Thy Student: Interactive Learning with Gaussian Processes
Rose E. Wang, Mike Wu, Noah Goodman
Learning often involves interaction between multiple agents. Human teacher-student settings best illustrate how interactions result in efficient knowledge passing where the teacher…