2 citations · 3 across the 3 of their papers we have counts for
3 papers
math.OC2024
Global non-asymptotic super-linear convergence rates of regularized proximal quasi-Newton methods on non-smooth composite problems
Shida Wang, Jalal Fadili, Peter Ochs
In this paper, we propose two regularized proximal quasi-Newton methods with symmetric rank-1 update of the metric (SR1 quasi-Newton) to solve non-smooth convex additive composite…
cs.RO2023★ 2 cited
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications
Zhanglu Yan, Shida Wang, Kaiwen Tang +1
In light of the increasing adoption of edge computing in areas such as intelligent furniture, robotics, and smart homes, this paper introduces HyperSNN, an innovative method for co…
cs.LG2023★ 1 cited
A Brief Survey on the Approximation Theory for Sequence Modelling
Haotian Jiang, Qianxiao Li, Zhong Li +1
We survey current developments in the approximation theory of sequence modelling in machine learning. Particular emphasis is placed on classifying existing results for various mode…