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cs.LG2024★ 1 cited
Amortized Bayesian Workflow
Chengkun Li, Aki Vehtari, Paul-Christian Bürkner +3
Bayesian inference often faces a trade-off between computational speed and sampling accuracy. We propose an adaptive workflow that integrates rapid amortized inference with gold-st…
cs.LG2024
Active Learning of Molecular Data for Task-Specific Objectives
Kunal Ghosh, Milica Todorović, Aki Vehtari +1
Active learning (AL) has shown promise for being a particularly data-efficient machine learning approach. Yet, its performance depends on the application and it is not clear when A…