Weighted Spline-Expanded Networks with Distributional Balancing for Continuous Treatment Effects

arXiv:2609.33740 · stat.ML, cs.LG · Submitted 2026-09-27 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Regularization — 21× in this paper · explained in 3 episodes
• Causal Inference — 15× in this paper · explained in 4 episodes
• Loss Function — 6× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Selection Bias — 5× in this paper · explained in 4 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Influence Functions — 4× in this paper · explained in 2 episodes
• Objective Function — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Average Dose-Response Function — 2× in this paper
• Cancer Genome Atlas — 2× in this paper
• Computational overhead — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Covariate Balancing Propensity Score — 2× in this paper
• Covariate Shift — 2× in this paper · explained in 2 episodes
• Curse of Dimensionality — 2× in this paper · explained in 6 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Generalized Propensity Score — 2× in this paper
• Gradient Boosting Machine — 2× in this paper
• Interpretability — 2× in this paper · explained in 15 episodes
• Patient-Centered Outcomes Research Institute — 2× in this paper
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• E Details of Efficient Influence Function — 1× in this paper
• Elias — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization Bounds — 1× in this paper · explained in 2 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Left-Hand Side — 1× in this paper
• Longitudinal Data — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Score Function — 1× in this paper · explained in 4 episodes

Sources

• Feasible Dose-Response Curves for Continuous Treatments Under Positivity Violations
• Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
• Quasi-optimal Reinforcement Learning with Continuous Actions
• Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
• VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
• Incremental effects for continuous exposures
• Nonparametric Inference on Dose-Response Curves Without the Positivity Condition

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