AI RESEARCH
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
arXiv CS.LG
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ArXi:2502.02463v3 Announce Type: replace-cross While Bayesian inference provides a principled framework for reasoning under uncertainty, its widespread adoption is limited by the intractability of exact posterior computation, necessitating the use of approximate inference. However, existing methods are often computationally expensive, or demand costly re