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cs.LG2026
Decision-Focused Learning: When and Why Traditional Prediction Models Fail
Mo Liu
Plugging predictions of unknown parameters into downstream optimization problems, often referred to as the ``predict-then-optimize'' paradigm, has long been a standard approach in…
cs.LG2025
Active Learning For Contextual Linear Optimization: A Margin-Based Approach
Mo Liu, Paul Grigas, Heyuan Liu +1
We develop the first active learning method for contextual linear optimization. Specifically, we introduce a label acquisition algorithm that sequentially decides whether to reques…