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Loss Landscape Sightseeing with Multi-Point Optimization

Loss Landscape Sightseeing with Multi-Point Optimization

9 October 2019
Ivan Skorokhodov
Mikhail Burtsev
    3DPC
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Papers citing "Loss Landscape Sightseeing with Multi-Point Optimization"

4 / 4 papers shown
Title
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks
Zhiwei Bai
Tao Luo
Z. Xu
Yaoyu Zhang
23
4
0
26 May 2022
Beyond the Quadratic Approximation: the Multiscale Structure of Neural
  Network Loss Landscapes
Beyond the Quadratic Approximation: the Multiscale Structure of Neural Network Loss Landscapes
Chao Ma
D. Kunin
Lei Wu
Lexing Ying
25
27
0
24 Apr 2022
Embedding Principle: a hierarchical structure of loss landscape of deep
  neural networks
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
Yaoyu Zhang
Yuqing Li
Zhongwang Zhang
Tao Luo
Z. Xu
21
21
0
30 Nov 2021
Stochastic gradient descent with noise of machine learning type. Part I:
  Discrete time analysis
Stochastic gradient descent with noise of machine learning type. Part I: Discrete time analysis
Stephan Wojtowytsch
23
50
0
04 May 2021
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