2 papers
stat.ML2026
Error Accumulation in Second-Order Sequential Machine Unlearning
Chen Shang, Haolin Zou, Binghe Zhu +1
Machine unlearning seeks to remove the influence of deleted training data without full retraining. In the sequential setting, deletion requests arrive over time, and repeated updat…
math.ST2026
On the Accuracy of Approximate Leave-One-Out with Blockwise Nonsmooth Regularization in High-dimensions
Honghao Lin, Songbin Liu, Arian Maleki +5
Approximate leave-one-out (ALO) refers to methods that provide computationally efficient and statistically accurate approximations to leave-one-out risk estimation. These methods h…