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stat.ML2026
Adversarial Contamination Meets Hard Thresholding: An Iterative Algorithm with Signal Adaptivity and Minimax Optimality
Shixiang Liu, Hanming Yang
Pervasive data contamination -- stemming from measurement errors, outliers, or adversarial corruption -- has motivated the development of robust statistical methods. In this contex…
stat.ML2026
High-dimensional online learning via asynchronous decomposition: Non-divergent results, dynamic regularization, and beyond
Shixiang Liu, Zhifan Li, Hanming Yang +1
Existing high-dimensional online learning methods often face the challenge that their error bounds, or per-batch sample sizes, diverge as the number of data batches increases. To a…