Comment: Variational Autoencoders as Empirical Bayes

被引：4
|
作者：
Wang, Yixin [1 ]
Miller, Andrew C. [2 ]
Blei, David M. [2 ,3 ]
机构：
[1] Columbia Univ, Dept Stat, New York, NY 10027 USA
[2] Columbia Univ, Data Sci Inst, New York, NY 10027 USA
[3] Columbia Univ, Dept Stat, Dept Comp Sci, New York, NY 10027 USA
来源：
STATISTICAL SCIENCE | 2019年 / 34卷 / 02期
关键词：
D O I：
10.1214/19-STS710
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
[No abstract available]
引用
收藏
页码：229 / 233
页数：5
相关论文
共 50 条
  • [31] Variational Autoencoders for Collaborative Filtering
    Liang, Dawen
    Krishnan, Rahul G.
    Hoffman, Matthew D.
    Jebara, Tony
    WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018), 2018, : 689 - 698
  • [32] An Evolutionary Approach to Variational Autoencoders
    Hajewski, Jeff
    Oliveira, Suely
    2020 10TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2020, : 71 - 77
  • [33] Disentangling Disentanglement in Variational Autoencoders
    Mathieu, Emile
    Rainforth, Tom
    Siddharth, N.
    Teh, Yee Whye
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
  • [34] A Geometric Perspective on Variational Autoencoders
    Chadebec, Clement
    Allassonniere, Stephanie
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [35] Shedding Light on Variational Autoencoders
    Ruiz Vargas, J. C.
    Novaes, S. F.
    Cobe, R.
    Iope, R.
    Stanzani, S.
    Tomei, T. R.
    2018 XLIV LATIN AMERICAN COMPUTER CONFERENCE (CLEI 2018), 2018, : 294 - 298
  • [36] Rethinking Controllable Variational Autoencoders
    Shao, Huajie
    Yang, Yifei
    Lin, Haohong
    Lin, Longzhong
    Chen, Yizhuo
    Yang, Qinmin
    Zhao, Han
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 19228 - 19237
  • [37] Recursive Inference for Variational Autoencoders
    Kim, Minyoung
    Pavlovic, Vladimir
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 33, NEURIPS 2020, 2020, 33
  • [38] EXPLORING VARIATIONAL AUTOENCODERS FOR LEMMATIZATION
    Rebeja, Petru
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE LINGUISTIC RESOURCES AND TOOLS FOR NATURAL LANGUAGE PROCESSING, 2020, : 77 - 82
  • [39] Variational Autoencoders: A Harmonic Perspective
    Camuto, Alexander
    Willetts, Matthew
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022, 151
  • [40] Certifiably Robust Variational Autoencoders
    Barrett, Ben
    Camuto, Alexander
    Willetts, Matthew
    Rainforth, Tom
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022, 151
12345