Dignet: Learning decomposed patterns in representation balancing for treatment effect estimation
Y Huang, W Siyi, CH Leung, WU Qi… - … on Machine Learning …, 2024 - openreview.net
Estimating treatment effects from observational data is often subject to a covariate shift
problem incurred by selection bias. Recent research has sought to mitigate this problem by …
problem incurred by selection bias. Recent research has sought to mitigate this problem by …
Defining Expertise: Applications to Treatment Effect Estimation
Decision-makers are often experts of their domain and take actions based on their domain
knowledge. Doctors, for instance, may prescribe treatments by predicting the likely outcome …
knowledge. Doctors, for instance, may prescribe treatments by predicting the likely outcome …
Towards Balanced Representation Learning for Credit Policy Evaluation
Y Huang, CH Leung, S Ma, Z Yuan… - International …, 2023 - proceedings.mlr.press
Credit policy evaluation presents profitable opportunities for E-commerce platforms through
improved decision-making. The core of policy evaluation is estimating the causal effects of …
improved decision-making. The core of policy evaluation is estimating the causal effects of …
Representation Balancing with Decomposed Patterns for Treatment Effect Estimation
Y HUANG, W Siyi, CH LEUNG, WU Qi, W Dongdong… - openreview.net
Estimating treatment effects from observational data is subject to a problem of covariate shift
caused by selection bias. Recent studies have attempted to mitigate this problem by group …
caused by selection bias. Recent studies have attempted to mitigate this problem by group …