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stat.ML2026
High-Dimensional Asymptotics and Dataset Selection for Private Transfer Learning
Filip Kovačević, Edwige Cyffers, Stefano Sarao Mannelli +1
To commit to buying external data or participate in collaborative learning, one must decide whether the additional data will improve prediction enough to justify the cost. This com…
stat.ML2026
Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning
Filip Kovačević, Hong Chang Ji, Denny Wu +2
It is folklore that reusing training data more than once can improve the statistical efficiency of gradient-based learning. While this phenomenon has been extensively studied in li…