11 citations · 23 across the 14 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.LG2025
Does Flatness imply Generalization for Logistic Loss in Univariate Two-Layer ReLU Network?
Dan Qiao, Yu-Xiang Wang
We consider the problem of generalization of arbitrarily overparameterized two-layer ReLU Neural Networks with univariate input. Recent work showed that under square loss, flat sol…
stat.ML2025
Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon
Tongtong Liang, Dan Qiao, Yu-Xiang Wang +1
We study the implicit bias of flatness / low (loss) curvature and its effects on generalization in two-layer overparameterized ReLU networks with multivariate inputs -- a problem w…
cs.LG2025
No-Regret Linear Bandits under Gap-Adjusted Misspecification
Chong Liu, Dan Qiao, Ming Yin +2
This work studies linear bandits under a new notion of gap-adjusted misspecification and is an extension of Liu et al. (2023). When the underlying reward function is not linear, ex…