Kernel-Based Functional Balancing for Causal Inference with Compositional Treatments

arXiv:2606.17308 · stat.ME, stat.ML · Submitted 2026-06-15 · Read on arXiv

Sungbum Kim, Jiayi Wang

stat.ME, stat.ML

Submitted: 2026-06-15

Comments: 40 pages, 3 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Causal Inference — 12× in this paper · explained in 5 episodes
Composition — 12× in this paper · explained in 2 episodes
Regularization — 11× in this paper · explained in 3 episodes
Augmented Weighted Estimator — 10× in this paper
Consistency — 9× in this paper · explained in 3 episodes
Augmentation — 8× in this paper · explained in 2 episodes
Kernel Ridge Regression — 8× in this paper · explained in 2 episodes
Asymptotic Normality — 7× in this paper · explained in 2 episodes
Hilbert Space — 4× in this paper · explained in 2 episodes
Interpretability — 4× in this paper · explained in 15 episodes
Robustness — 3× in this paper · explained in 6 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Error Decomposition — 1× in this paper · explained in 4 episodes
Inflation — 1× in this paper · explained in 2 episodes
Mean Squared Error — 1× in this paper
Objective Function — 1× in this paper · explained in 2 episodes
Overfitting — 1× in this paper · explained in 2 episodes
Reproducing Kernel Hilbert Space (RKHS) — 1× in this paper · explained in 7 episodes
Variance Reduction — 1× in this paper · explained in 2 episodes