1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design
Mingzhang Yin, Ruijiang Gao, Weiran Lin +1
Designing products to meet consumers' preferences is essential for a business's success. We propose the Gradient-based Survey (GBS), a discrete choice experiment for multiattribute…
cs.LG2021★ 1 cited
Enhancing Counterfactual Classification via Self-Training
Ruijiang Gao, Max Biggs, Wei Sun +1
Unlike traditional supervised learning, in many settings only partial feedback is available. We may only observe outcomes for the chosen actions, but not the counterfactual outcome…