Tag: autoregressive

Selecting Optimal Variable Order in Autoregressive Ising Models arXiv:2602.20394v1 Announce Type: new Abstract: Autoregressive models enable tractable sampling from learned probability distributions, but their performance critically depends on the variable ordering used in the factorization via complexities of the resulting conditional distributions. We propose to learn the Markov random field describing the underlying data, and…