1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring
Buse Sibel Korkmaz, Rahul Nair, Elizabeth M. Daly +3
Foundation models require fine-tuning to ensure their generative outputs align with intended results for specific tasks. Automating this fine-tuning process is challenging, as it t…
cs.LG2024★ 1 cited
Applying Multi-Fidelity Bayesian Optimization in Chemistry: Open Challenges and Major Considerations
Edmund Judge, Mohammed Azzouzi, Austin M. Mroz +2
Multi fidelity Bayesian optimization (MFBO) leverages experimental and or computational data of varying quality and resource cost to optimize towards desired maxima cost effectivel…