10 citations · 13 across the 5 of their papers we have counts for
5 papers
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization
Quan Xiao, Han Shen, Wotao Yin +1
Stochastic bilevel optimization, which captures the inherent nested structure of machine learning problems, is gaining popularity in many recent applications. Existing works on bil…
Lazy Queries Can Reduce Variance in Zeroth-order Optimization
Quan Xiao, Qing Ling, Tianyi Chen
A major challenge of applying zeroth-order (ZO) methods is the high query complexity, especially when queries are costly. We propose a novel gradient estimation technique for ZO me…
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
Momin Abbas, Quan Xiao, Lisha Chen +2
Model-agnostic meta learning (MAML) is currently one of the dominating approaches for few-shot meta-learning. Albeit its effectiveness, the optimization of MAML can be challenging…
A Single-Timescale Method for Stochastic Bilevel Optimization
Tianyi Chen, Yuejiao Sun, Quan Xiao +1
Stochastic bilevel optimization generalizes the classic stochastic optimization from the minimization of a single objective to the minimization of an objective function that depend…
Image denoising via K-SVD with primal-dual active set algorithm
Quan Xiao, Canhong Wen, Zirui Yan
K-SVD algorithm has been successfully applied to image denoising tasks dozens of years but the big bottleneck in speed and accuracy still needs attention to break. For the sparse c…