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Srividya Ponnada

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Zero-Shot Bayesian Optimization with TabPFN: Competitive with State-of-the-Art without Per-Task Training

It is shown that TabPFN v2 (Hollmann et al., 2025), a pretrained tabular foundation model never trained on Bayesian optimization data, can serve as a drop-in zero-shot BO surrogate, eliminating the per-task fitting step.

Theodore Rogers, Srividya Ponnada · 0 citations