2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2024
Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization
Yang Chen, Long Yang, Yitao Liang +1
Low-Dimension-to-High-Dimension (LDHD) generalization is a special case of Out-of-Distribution (OOD) generalization, where the training data are restricted to a low-dimensional sub…
math.OC2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
Shihong Ding, Long Yang, Luo Luo +1
We study a typical optimization model where the optimization variable is composed of multiple probability distributions. Though the model appears frequently in practice, such as fo…
math.OC2023★ 2 cited
Zeroth-order Optimization with Weak Dimension Dependency
Pengyun Yue, Long Yang, Cong Fang +1
Zeroth-order optimization is a fundamental research topic that has been a focus of various learning tasks, such as black-box adversarial attacks, bandits, and reinforcement learnin…