6 citations · 13 across the 4 of their papers we have counts for
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cs.LG2023★ 6 cited
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…
cs.LG2022★ 2 cited
Online Contextual Decision-Making with a Smart Predict-then-Optimize Method
Heyuan Liu, Paul Grigas
We study an online contextual decision-making problem with resource constraints. At each time period, the decision-maker first predicts a reward vector and resource consumption mat…
cs.LG2021★ 5 cited
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
Heyuan Liu, Paul Grigas
The predict-then-optimize framework is fundamental in practical stochastic decision-making problems: first predict unknown parameters of an optimization model, then solve the probl…