Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Secrieru, Dragos"'
Autor:
Falet, Jean-Pierre, Lee, Hae Beom, Malkin, Nikolay, Sun, Chen, Secrieru, Dragos, Jiralerspong, Thomas, Zhang, Dinghuai, Lajoie, Guillaume, Bengio, Yoshua
We present a new algorithm for amortized inference in sparse probabilistic graphical models (PGMs), which we call $\Delta$-amortized inference ($\Delta$-AI). Our approach is based on the observation that when the sampling of variables in a PGM is see
Externí odkaz:
http://arxiv.org/abs/2310.02423
