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Learning Approximately Objective Priors
v1v2v3 (latest)

Learning Approximately Objective Priors

4 April 2017
Eric T. Nalisnick
Padhraic Smyth
ArXiv (abs)PDFHTML

Papers citing "Learning Approximately Objective Priors"

5 / 5 papers shown
A Generative Model of Symmetry Transformations
A Generative Model of Symmetry Transformations
J. Allingham
Bruno Mlodozeniec
Shreyas Padhy
Javier Antorán
David Krueger
Richard E. Turner
Eric T. Nalisnick
José Miguel Hernández-Lobato
GAN
259
12
0
04 Mar 2024
Generalized mutual information and their reference priors under Csizar
  f-divergence
Generalized mutual information and their reference priors under Csizar f-divergence
Antoine Van Biesbroeck
286
0
0
16 Oct 2023
Minimum Description Length Control
Minimum Description Length ControlInternational Conference on Learning Representations (ICLR), 2022
Theodore H. Moskovitz
Ta-Chu Kao
M. Sahani
M. Botvinick
223
1
0
17 Jul 2022
Far from Asymptopia
Far from Asymptopia
Michael C. Abbott
B. Machta
107
2
0
06 May 2022
Bigeminal Priors Variational auto-encoder
Bigeminal Priors Variational auto-encoder
Xuming Ran
Mingkun Xu
Qi Xu
Huihui Zhou
Quanying Liu
137
3
0
05 Oct 2020
1