2016
Bethe Learning of Graphical Models via MAP Decoding
AISTATS 2016poster
Many machine learning tasks require fitting probabilistic models over structured objects, such as pixel grids, matchings, and graph edges. Maximum likelihood estimation (MLE) for such domains is challenging due to the intractability of computing partition functions. One can resort to approximate mar…