Andrew Wei Tung Siah

Undergrad student, Columbia University

1 paper at NeurIPS 2025

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Poster Session 2

1 paper

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework

#103 · Thomson Yen, Andrew Wei Tung Siah, Haozhe Chen, C. Daniel Guetta, Tianyi Peng, Hongseok Namkoong

A multi-scale, multi-fidelity Bayesian Optimization (BO) approach where {data mixtures, model scale, training steps} are adaptively selected, achieving >2.6x speedups compared to multi-fidelity BO and random search baselines.