5 papers
Causal Estimation of Share-Induced Engagement with Flywheel Effects
Weitao Cheng, Yilin Li, Yong Wang +1
Sustainable user growth in online platforms depends not only on acquiring new users but also on reactivating and engaging existing ones through social sharing features. A well-desi…
Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
Mingyuan Xu, Zongqi Xia, Tianxi Cai +2
We often collect data from multiple sites (e.g., hospitals) that share common structure but also exhibit heterogeneity. This paper aims to learn robust sequential decision-making p…
Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework
Zitao Wang, Nian Si, Molei Liu
Distributionally robust optimization (DRO) protects statistical learning against distributional shifts by optimizing the worst-case performance over a set of perturbed distribution…
Knowledge-Guided Wasserstein Distributionally Robust Optimization
Zitao Wang, Ziyuan Wang, Molei Liu +1
Transfer learning is a popular strategy to leverage external knowledge and improve statistical efficiency, particularly with a limited target sample. We propose a novel knowledge-g…
Multi-source Stable Variable Importance Measure via Adversarial Machine Learning
Zitao Wang, Nian Si, Zijian Guo +1
The quantification and inference of predictive importance for exposure covariates have recently gained significant attention in the context of interpretable machine learning. Conte…