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stat.ME2023
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…
cs.LG2023
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…