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stat.ML2025
DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
Dongze Wu, Feng Qiu, Yao Xie
Time-series forecasting increasingly demands not only accurate observational predictions but also causal forecasting under interventional and counterfactual queries in multivariate…
stat.ML2025
Generative Flows for Potential Outcomes and Counterfactuals
Dongze Wu, David I. Inouye, Yao Xie
Average treatment effects summarize how interventions change outcomes, but individualized decisions require predictions and outcome distributions of what would have happened to the…
stat.ME2025
Graph-Based Prediction Models for Data Debiasing
Dongze Wu, Hanyang Jiang, Yao Xie
Bias in data collection, arising from both under-reporting and over-reporting, poses significant challenges in critical applications such as healthcare and public safety. In this w…