37 citations · 88 across the 14 of their papers we have counts for
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math.ST2026
Optimal use of a black-box learner in semiparametric estimation
Yihong Gu
Consider the partial linear model and in the structure-agnostic setting, where we are blind to the structure and $π_…
math.ST2026
Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS
Yihong Gu, Katherine Liao, Tianxi Cai
This paper considers a multi-environment factor model in which high-dimensional covariates are collected from heterogeneous environments, with auxiliary labels available in a subse…
math.ST2026
Optimally taming biases in black-box models for efficient semiparametric estimation
Yihong Gu, Qishuo Yin, Tianxi Cai +1
Modern semiparametric estimation often relies on flexible black-box machine learning methods to estimate nuisance functions, raising a fundamental question: how do nuisance estimat…