Yijin Ni

According to our database, Yijin Ni authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Kernel Selection is Model Selection: A Unified Complexity-Penalized Approach for MMD Two-Sample Tests.

Yijin Ni, Xiaoming Huo

CoRR, May, 2026

Online Covariance Estimation in Averaged SGD: Improved Batch-Mean Rates and Minimax Optimality via Trajectory Regression.

Yijin Ni, Xiaoming Huo

CoRR, April, 2026

2025

Abductive Preference Learning.

Yijin Ni, Peng Qi

CoRR, October, 2025

Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning.

Yijin Ni, Xiaoming Huo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

A Concentration Inequality for Maximum Mean Discrepancy (MMD)-based Statistics and Its Application in Generative Models.

Yijin Ni, Xiaoming Huo

CoRR, 2024

2023

Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression.

Canhong Wen, Zhenduo Li, Ruipeng Dong, Yijin Ni, Wenliang Pan

INFORMS J. Comput., 2023