Unifying variational inference and PAC-bayes for supervised learning that scales

被引：0
|
作者：
Thakur, Sanjay [1 ]
van Hoof, Herke [2 ]
Gupta, Gunshi [1 ]
Meger, David [3 ]
机构：
[1] Mila
[2] UVA
[3] MRL
来源：
arXiv | 2019年
关键词：
Complex task - High probability - Higher dimensional function - Learn+ - Network-based controllers - Neural-networks - Overfitting - PAC-Bayes - Performance bounds - Variational inference;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
43
引用
收藏
相关论文
共 50 条
  • [1] Online PAC-Bayes Learning
    Haddouche, Maxime
    Guedj, Benjamin
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [2] PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models
    Banerjee, Imon
    Rao, Vinayak A.
    Honnappa, Harsha
    ENTROPY, 2021, 23 (03) : 1 - 39
  • [3] Conditionally Gaussian PAC-Bayes
    Clerico, Eugenio
    Deligiannidis, George
    Doucet, Arnaud
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022, 151
  • [4] PAC-Bayes and domain adaptation
    Germain, Pascal
    Habrard, Amaury
    Laviolette, Francois
    Morvant, Emilie
    NEUROCOMPUTING, 2020, 379 : 379 - 397
  • [5] On Margins and Derandomisation in PAC-Bayes
    Biggs, Felix
    Guedj, Benjamin
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022, 151
  • [6] Generalisation bounds for kernel PCA through PAC-Bayes learning
    Haddouche, Maxime
    Guedj, Benjamin
    Shawe-Taylor, John
    STAT, 2024, 13 (04):
  • [7] A Unified View on PAC-Bayes Bounds for Meta-Learning
    Rezazadeh, Arezou
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162, 2022,
  • [8] Meta-Learning PAC-Bayes Priors in Model Averaging
    Huan, Yimin
    Huan, Weiran
    Li, Liang
    Li, Zhenguo
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 4198 - 4205
  • [9] On the role of data in PAC-Bayes bounds
    Dziugaite, Gintare Karolina
    Hsu, Kyle
    Gharbieh, Waseem
    Arpino, Gabriel
    Roy, Daniel M.
    24TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (AISTATS), 2021, 130 : 604 - +
  • [10] A PAC-Bayes Analysis of Adversarial Robustness
    Viallard, Paul
    Vidot, Guillaume
    Habrard, Amaury
    Moryant, Emilie
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
12345