(α-β) alphabetical order; * joint first
Manuscripts
Optimal use of a black-box model in semiparametric estimation. [arxiv]
Yihong Gu
In submission
Unveiling the invariant factors across heterogeneous environments via ATLAS. [arxiv]
Yihong Gu, Kathrine Liao, Tianxi Cai
Under review
Optimally taming biases in black-box models for efficient semiparametric estimation. [arxiv]
Yihong Gu, Qishuo Yin, Tianxi Cai, Jianqing Fan
Under review
Neural Generative Distributional Regression. [arxiv]
Jinhang Chai, Jianqing Fan, Yihong Gu (α-β)
Under review
Near-Optimal Tensor PCA via Normalized Stochastic Gradient Ascent with Overparameterization. [arxiv]
Shihong Ding, Yihong Gu, Yuanshi Liu, Cong Fang
Under revision
Optimal estimation of a factorizable density using diffusion models with ReLU neural networks. [arxiv]
Jianqing Fan, Yihong Gu, Ximing Li (α-β)
Under revision
CINDES: Classification induced neural density estimator and simulator. [arxiv]
Dehao Dai, Jianqing Fan, Yihong Gu, Debarghya Mukherjee (α-β)
Under revision
Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization. [arxiv]
Yihong Gu, Cong Fang, Yang Xu, Zijian Guo, Jianqing Fan
Under revision