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cs.LG2026
Learning Who Benefits Most: Multi-Treatment Causal Ranking for Population Health Stratification
Rocco Zaccagnino, Martina Girolamo, Alberto Lombardi +3
Population health stratification frameworks, such as the Italian DM77, organize patients by clinical need and care pathways but offer limited guidance on which care changes to prio…
cs.LG2026
When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay
Hasan Amin, Wei-Kai Chang, Rajiv Khanna
Normalization renders large parts of neural networks effectively scale invariant, inducing a hidden feedback loop in which learning-rate schedules and weight decay interact through…
cs.LG2026
Escaping the Mode Lottery: Multi-Response Training Improves Language Model Generalization
Hasan Amin, Kian Ahrabian, Ming Yin +1
Modern language-model fine-tuning typically pairs each prompt with a single response, even though many prompts admit multiple valid completions. This effectively reduces a multi-mo…