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Generalization Gap in Amortized Inference

Generalization Gap in Amortized Inference

23 May 2022
Mingtian Zhang
Peter Hayes
David Barber
    BDL
    CML
    DRL
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Papers citing "Generalization Gap in Amortized Inference"

11 / 11 papers shown
Title
Amortized Variational Inference for Deep Gaussian Processes
Amortized Variational Inference for Deep Gaussian Processes
Qiuxian Meng
Yongyou Zhang
16
0
0
18 Sep 2024
Improving Variational Autoencoder Estimation from Incomplete Data with
  Mixture Variational Families
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families
Vaidotas Šimkus
Michael U. Gutmann
32
2
0
05 Mar 2024
Conditional Sampling of Variational Autoencoders via Iterated
  Approximate Ancestral Sampling
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling
Vaidotas Šimkus
Michael U. Gutmann
BDL
DRL
15
3
0
17 Aug 2023
Moment Matching Denoising Gibbs Sampling
Moment Matching Denoising Gibbs Sampling
Mingtian Zhang
Alex Hawkins-Hooker
Brooks Paige
David Barber
DiffM
16
3
0
19 May 2023
Computationally-Efficient Neural Image Compression with Shallow Decoders
Computationally-Efficient Neural Image Compression with Shallow Decoders
Yibo Yang
Stephan Mandt
11
21
0
13 Apr 2023
Amortized Variational Inference: A Systematic Review
Amortized Variational Inference: A Systematic Review
Ankush Ganguly
Sanjana Jain
Ukrit Watchareeruetai
13
14
0
22 Sep 2022
Laplacian Autoencoders for Learning Stochastic Representations
Laplacian Autoencoders for Learning Stochastic Representations
M. Miani
Frederik Warburg
Pablo Moreno-Muñoz
Nicke Skafte Detlefsen
Søren Hauberg
UQCV
BDL
SSL
17
10
0
30 Jun 2022
Improving VAE-based Representation Learning
Improving VAE-based Representation Learning
Mingtian Zhang
Tim Z. Xiao
Brooks Paige
David Barber
SSL
DRL
10
9
0
28 May 2022
Robust Hybrid Learning With Expert Augmentation
Robust Hybrid Learning With Expert Augmentation
Antoine Wehenkel
Jens Behrmann
Hsiang Hsu
Guillermo Sapiro
Gilles Louppe and
J. Jacobsen
8
8
0
08 Feb 2022
Variational Gibbs Inference for Statistical Model Estimation from
  Incomplete Data
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data
Vaidotas Šimkus
Benjamin Rhodes
Michael U. Gutmann
8
8
0
25 Nov 2021
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,542
0
25 Jan 2016
1