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Found 4 papers, 1 papers with code
Treatment Effect Estimation for Exponential Family Outcomes using Neural Networks with Targeted Regularization
Specifically, we first derive the von-Mises expansion of the Average Dose function of Canonical Functions (ADCF), which inspires us how to construct a doubly robust estimator with good properties.
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights
Long-term treatment effect estimation is a significant but challenging problem in many applications.
Architecture and Operation Adaptive Network for Online Recommendations
We proved that GIN is a generalized form of a wide range of state-of-the-art models, which means GIN can automatically search for the best operation among these models as well as a broader underlying architecture space.
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems
This paper proposes Telepath, a vision-based bionic recommender system model, which understands users from such perspective.
