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stat.ML2024
Bridging Domains with Approximately Shared Features
Ziliang Samuel Zhong, Xiang Pan, Qi Lei
Multi-source domain adaptation aims to reduce performance degradation when applying machine learning models to unseen domains. A fundamental challenge is devising the optimal strat…
stat.ML2023
Improved theoretical guarantee for rank aggregation via spectral method
Ziliang Samuel Zhong, Shuyang Ling
Given pairwise comparisons between multiple items, how to rank them so that the ranking matches the observations? This problem, known as rank aggregation, has found many applicatio…