97 citations · 225 across the 33 of their papers we have counts for
4 papers · 1 filter
A General Descent Aggregation Framework for Gradient-based Bi-level Optimization
Risheng Liu, Pan Mu, Xiaoming Yuan +2
In recent years, a variety of gradient-based methods have been developed to solve Bi-Level Optimization (BLO) problems in machine learning and computer vision areas. However, the t…
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu, Pan Mu, Xiaoming Yuan +2
In recent years, a variety of gradient-based first-order methods have been developed to solve bi-level optimization problems for learning applications. However, theoretical guarant…
Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
Wei Shen, Zhenhuan Yang, Yiming Ying +1
In this paper we study the stability and its trade-off with optimization error for stochastic gradient descent (SGD) algorithms in the pairwise learning setting. Pairwise learning…
Adaptive Consensus ADMM for Distributed Optimization
Zheng Xu, Gavin Taylor, Hao Li +3
The alternating direction method of multipliers (ADMM) is commonly used for distributed model fitting problems, but its performance and reliability depend strongly on user-defined…