22 citations · 33 across the 10 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
stat.ME2023
Semiparametric posterior corrections
Andrew Yiu, Edwin Fong, Chris Holmes +1
We present a new approach to semiparametric inference using corrected posterior distributions. The method allows us to leverage the adaptivity, regularization and predictive power…
cs.LG2023
Martingale Posterior Neural Processes
Hyungi Lee, Eunggu Yun, Giung Nam +2
A Neural Process (NP) estimates a stochastic process implicitly defined with neural networks given a stream of data, rather than pre-specifying priors already known, such as Gaussi…