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From Symmetry to Geometry: Tractable Nonconvex Problems

From Symmetry to Geometry: Tractable Nonconvex Problems

14 July 2020
Yuqian Zhang
Qing Qu
John N. Wright
ArXivPDFHTML

Papers citing "From Symmetry to Geometry: Tractable Nonconvex Problems"

9 / 9 papers shown
Title
Compressible Dynamics in Deep Overparameterized Low-Rank Learning &
  Adaptation
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras
Peng Wang
Laura Balzano
Qing Qu
AI4CE
27
12
0
06 Jun 2024
Symmetries, flat minima, and the conserved quantities of gradient flow
Symmetries, flat minima, and the conserved quantities of gradient flow
Bo-Lu Zhao
I. Ganev
Robin G. Walters
Rose Yu
Nima Dehmamy
34
16
0
31 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective
Are All Losses Created Equal: A Neural Collapse Perspective
Jinxin Zhou
Chong You
Xiao Li
Kangning Liu
Sheng Liu
Qing Qu
Zhihui Zhu
19
55
0
04 Oct 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji
Yiping Lu
Yiliang Zhang
Zhun Deng
Weijie J. Su
122
65
0
06 Oct 2021
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact
  Recovery
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
Lijun Ding
Liwei Jiang
Yudong Chen
Qing Qu
Zhihui Zhu
13
28
0
23 Sep 2021
Unique sparse decomposition of low rank matrices
Unique sparse decomposition of low rank matrices
Dian Jin
Xin Bing
Yuqian Zhang
12
4
0
14 Jun 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
114
162
0
29 Jan 2021
Global optimality conditions for deep neural networks
Global optimality conditions for deep neural networks
Chulhee Yun
S. Sra
Ali Jadbabaie
116
117
0
08 Jul 2017
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
90
1,334
0
06 Jul 2016
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