Huo, Xiaoming

13 publications

NeurIPS 2025 Kernel-Based Equalized Odds: A Quantification of Accuracy-Fairness Trade-Off in Fair Representation Learning Yijin Ni, Xiaoming Huo
NeurIPS 2025 PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Ziyan Wang, Sizhe Wei, Xiaoming Huo, Hao Wang
ICLR 2025 Towards Domain Adaptive Neural Contextual Bandits Ziyan Wang, Xiaoming Huo, Hao Wang
JMLR 2024 Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning Yiling Xie, Xiaoming Huo
JMLR 2024 Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks Tian-Yi Zhou, Xiaoming Huo
NeurIPS 2024 High-Dimensional (Group) Adversarial Training in Linear Regression Yiling Xie, Xiaoming Huo
ICML 2024 Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes Hyunouk Ko, Xiaoming Huo
ICLR 2023 Approximation and Non-Parametric Estimation of Functions over High-Dimensional Spheres via Deep ReLU Networks Namjoon Suh, Tian-Yi Zhou, Xiaoming Huo
ICML 2023 Conformalization of Sparse Generalized Linear Models Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo
AISTATS 2023 Improved Rate of First Order Algorithms for Entropic Optimal Transport Yiling Luo, Yiling Xie, Xiaoming Huo
TMLR 2023 Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm Yiling Xie, Yiling Luo, Xiaoming Huo
ICLR 2022 A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep ReLU Network Under Noisy Observations Namjoon Suh, Hyunouk Ko, Xiaoming Huo
NeurIPSW 2022 Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm Yiling Xie, Yiling Luo, Xiaoming Huo