2 papers
cs.LG2025
Online (Non-)Convex Learning via Tempered Optimism
Maxime Haddouche, Olivier Wintenberger, Benjamin Guedj
Optimistic Online Learning aims to exploit experts conveying reliable information to predict the future. However, such implicit optimism may be challenged when it comes to practica…
cs.CL2024
Reprint: a randomized extrapolation based on principal components for data augmentation
Le Li, Jiale Wei, Pai Peng +3
Data scarcity and data imbalance have attracted a lot of attention in many fields. Data augmentation, explored as an effective approach to tackle them, can improve the robustness a…