AI RESEARCH
Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning
arXiv CS.LG
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ArXi:2605.21765v1 Announce Type: new The practical adoption of sampling-based inference (SAI) in Bayesian neural networks (BNNs) remains limited, partly due to persistent misconceptions about the feasibility and efficiency of sampling. This position paper argues that SAI has achieved computational parity with optimization-based methods and is at the verge of superseding such methods for effective and efficient inference in BNNs.