4 papers
C-Learner: Constrained Learning for Causal Inference
Tiffany Tianhui Cai, Yuri Fonseca, Kaiwen Hou +1
Debiasing methods such as augmented inverse propensity weighting (AIPW), and targeted maximum likelihood estimation (TMLE) enjoy asymptotic properties like semiparametric efficienc…
Adaptive Bayesian Learning with Action and State-Dependent Signal Variance
Kaiwen Hou
This manuscript presents an advanced framework for Bayesian learning by incorporating action and state-dependent signal variances into decision-making models. This framework is piv…
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference
Kaiwen Hou
This paper presents a groundbreaking approach to causal inference by integrating continuous normalizing flows (CNFs) with parametric submodels, enhancing their geometric sensitivit…
Crises Do Not Cause Lower Short-Term Growth
Kaiwen Hou, David Hou, Yang Ouyang +2
It is commonly believed that financial crises "lead to" lower growth of a country during the two-year recession period, which can be reflected by their post-crisis GDP growth. Howe…