Kenji Fukumizu

Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective

2015 · arXiv (Cornell University)

Transfer learning assumes classifiers of similar tasks share certain parameter structures. Unfortunately, modern classifiers uses sophisticated feature representations with huge parameter spaces which lead to costly transfer. Under the impression that changes from one classifier …

DoubleGen: Debiased Generative Modeling of Counterfactuals

2025 · arXiv (Cornell University)

Generative models for counterfactual outcomes face two key sources of bias. Confounding bias arises when approaches fail to account for systematic differences between those who receive the intervention and those who do not. Misspecification bias …