49 citations · 104 across the 16 of their papers we have counts for
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cs.LG2023
Corruptions of Supervised Learning Problems: Typology and Mitigations
Laura Iacovissi, Nan Lu, Robert C. Williamson
Corruption is notoriously widespread in data collection. Despite extensive research, the existing literature predominantly focuses on specific settings and learning scenarios, lack…
cs.LG2023★ 1 cited
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems
Tongtong Fang, Nan Lu, Gang Niu +1
Distribution shift (DS) may have two levels: the distribution itself changes, and the support (i.e., the set where the probability density is non-zero) also changes. When consideri…