2025
Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling
NeurIPS 2025poster
Autoregressive models have emerged as a powerful framework for modeling exchangeable sequences---i.i.d. observations when conditioned on some latent factor---enabling direct modeling of uncertainty from missing data (rather than a latent). Motivated by the critical role posterior inference plays as…