Stochastic gradient descent as approximate Bayesian inference

被引:0
|
作者
机构
[1] Mandt, Stephan
[2] Hof Fman, Matthew D.
[3] Blei, David M.
来源
| 1600年 / Microtome Publishing卷 / 18期
关键词
53;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
    Lee, Sokbae
    Liao, Yuan
    Seo, Myung Hwan
    Shin, Youngki
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 7381 - 7389
  • [22] Stochastic Gradient Descent-based Inference for Dynamic Network Models with Attractors
    Pan, Hancong
    Zhu, Xiaojing
    Caliskan, Cantay
    Christenson, Dino P.
    Spiliopoulos, Konstantinos
    Walker, Dylan
    Kolaczyk, Eric D.
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2025,
  • [23] A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
    London, Ben
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, 30
  • [24] Calibrated Approximate Bayesian Inference
    Xing, Hanwen
    Nicholls, Geoff K.
    Lee, Jeong Eun
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
  • [25] Approximate Decentralized Bayesian Inference
    Campbell, Trevor
    How, Jonathan P.
    UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, 2014, : 102 - 111
  • [26] Approximate Bayesian inference for quantiles
    Dunson, DB
    Taylor, JA
    JOURNAL OF NONPARAMETRIC STATISTICS, 2005, 17 (03) : 385 - 400
  • [27] Robust approximate Bayesian inference
    Ruli, Erlis
    Sartori, Nicola
    Ventura, Laura
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2020, 205 : 10 - 22
  • [28] Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference
    Li, Zhize
    Zhang, Tianyi
    Cheng, Shuyu
    Zhu, Jun
    Li, Jian
    MACHINE LEARNING, 2019, 108 (8-9) : 1701 - 1727
  • [29] Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference
    Zhize Li
    Tianyi Zhang
    Shuyu Cheng
    Jun Zhu
    Jian Li
    Machine Learning, 2019, 108 : 1701 - 1727
  • [30] Unforgeability in Stochastic Gradient Descent
    Baluta, Teodora
    Nikolic, Ivica
    Jain, Racchit
    Aggarwal, Divesh
    Saxena, Prateek
    PROCEEDINGS OF THE 2023 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, CCS 2023, 2023, : 1138 - 1152