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cs.LG2024
Decision-Focused Learning with Directional Gradients
Michael Huang, Vishal Gupta
We propose a novel family of decision-aware surrogate losses, called Perturbation Gradient (PG) losses, for the predict-then-optimize framework. The key idea is to connect the expe…
cs.LG2020★ 2 cited
Balance Regularized Neural Network Models for Causal Effect Estimation
Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng +4
Estimating individual and average treatment effects from observational data is an important problem in many domains such as healthcare and e-commerce. In this paper, we advocate ba…