The implicit bias of gradient descent on separable data

被引：0
|
作者：
Soudry, Daniel [1 ]
Hoffer, Elad [1 ]
Nacson, Mor Shpigel [1 ]
Gunasekar, Suriya [2 ]
Srebro, Nathan [2 ]
机构：
[1] Department of Electrical Engineering, Technion Haifa, 320003, Israel
[2] Toyota Technological Institute at Chicago, Chicago,IL,60637, United States
来源：
Journal of Machine Learning Research | 2018年 / 19卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Gradient methods - Support vector machines - Regression analysis
引用
收藏
相关论文
共 50 条
  • [31] Gradient Methods Never Overfit On Separable Data
    Shamir, Ohad
    JOURNAL OF MACHINE LEARNING RESEARCH, 2021, 22
  • [32] Gradient methods never overfit on separable data
    Shamir, Ohad
    Journal of Machine Learning Research, 2021, 22
  • [33] Gradient descent fusion for gravity and magnetic data
    Dubey, Chandra Prakash
    Pandey, Laxmi
    Rajalakshmi, K., V
    JOURNAL OF EARTH SYSTEM SCIENCE, 2024, 133 (03)
  • [34] Algorithm for Data Balancing Based on Gradient Descent
    Mukhin, A., V
    Kilbas, I. A.
    Paringer, R. A.
    Ilyasova, N. Yu
    Kupriyanov, A., V
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN SIGNAL PROCESSING AND ARTIFICIAL INTELLIGENCE, ASPAI' 2020, 2020, : 56 - 59
  • [35] Block-Coordinate Gradient Descent Method for Linearly Constrained Nonsmooth Separable Optimization
    P. Tseng
    S. Yun
    Journal of Optimization Theory and Applications, 2009, 140
  • [36] A block coordinate gradient descent method for regularized convex separable optimization and covariance selection
    Sangwoon Yun
    Paul Tseng
    Kim-Chuan Toh
    Mathematical Programming, 2011, 129 : 331 - 355
  • [37] A block coordinate gradient descent method for regularized convex separable optimization and covariance selection
    Yun, Sangwoon
    Tseng, Paul
    Toh, Kim-Chuan
    MATHEMATICAL PROGRAMMING, 2011, 129 (02) : 331 - 355
  • [38] Block-Coordinate Gradient Descent Method for Linearly Constrained Nonsmooth Separable Optimization
    Tseng, P.
    Yun, S.
    JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2009, 140 (03) : 513 - 535
  • [39] Learning to learn by gradient descent by gradient descent
    Andrychowicz, Marcin
    Denil, Misha
    Colmenarejo, Sergio Gomez
    Hoffman, Matthew W.
    Pfau, David
    Schaul, Tom
    Shillingford, Brendan
    de Freitas, Nando
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), 2016, 29
  • [40] Implicit Bias ≠ Bias on Implicit Measures
    Gawronski, Bertram
    Ledgerwood, Alison
    Eastwick, Paul W.
    PSYCHOLOGICAL INQUIRY, 2022, 33 (03) : 139 - 155
12345