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cs.LG2026
A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes
Yijin Ni, Xiaoming Huo
Fair representation learning with a continuous sensitive attribute requires a representation that is statistically independent of . Existing criteria, including generali…
cs.LG2026
Online Covariance Estimation in Averaged SGD: Improved Batch-Mean Rates and Minimax Optimality via Trajectory Regression
Yijin Ni, Xiaoming Huo
We study online covariance matrix estimation for Polyak--Ruppert averaged stochastic gradient descent (SGD). The online batch-means estimator of Zhu, Chen and Wu (2023) achieves an…
cs.LG2024★ 1 cited
A Uniform Concentration Inequality for Kernel-Based Two-Sample Statistics
Yijin Ni, Xiaoming Huo
In many contemporary statistical and machine learning methods, one needs to optimize an objective function that depends on the discrepancy between two probability distributions. Th…