1 code implementation • 10 Apr 2023 • Jiaqi Yin, Yingjie Li, Daniel Robinson, Cunxi Yu
Deep neural networks (DNNs) have substantial computational and memory requirements, and the compilation of its computational graphs has a great impact on the performance of resource-constrained (e. g., computation, I/O, and memory-bound) edge computing systems.
no code implementations • NeurIPS 2019 • Zhihui Zhu, Tianyu Ding, Daniel Robinson, Manolis Tsakiris, René Vidal
Minimizing a non-smooth function over the Grassmannian appears in many applications in machine learning.
no code implementations • NeurIPS 2018 • Zhihui Zhu, Yifan Wang, Daniel Robinson, Daniel Naiman, Rene Vidal, Manolis Tsakiris
However, its geometric analysis is based on quantities that are difficult to interpret and are not amenable to statistical analysis.
no code implementations • ICML 2018 • Guilherme Franca, Daniel Robinson, Rene Vidal
Recently, there has been an increasing interest in using tools from dynamical systems to analyze the behavior of simple optimization algorithms such as gradient descent and accelerated variants.