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cs.LG2025
Explainable AI in Big Data Fraud Detection
Ayush Jain, Rahul Kulkarni, Siyi Lin
Big Data has become central to modern applications in finance, insurance, and cybersecurity, enabling machine learning systems to perform large-scale risk assessments and fraud det…
cs.LG2025
Train on Validation (ToV): Fast data selection with applications to fine-tuning
Ayush Jain, Andrea Montanari, Eren Sasoglu
State-of-the-art machine learning often follows a two-stage process: ~pre-training on large, general-purpose datasets; ~fine-tuning on task-specific data. In fine-tuning…
cs.LG2024
Scaling laws for learning with real and surrogate data
Ayush Jain, Andrea Montanari, Eren Sasoglu
Collecting large quantities of high-quality data can be prohibitively expensive or impractical, and a bottleneck in machine learning. One may instead augment a small set of dat…