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GO Gradient for Expectation-Based Objectives

GO Gradient for Expectation-Based Objectives

17 January 2019
Yulai Cong
Miaoyun Zhao
Ke Bai
Lawrence Carin
ArXivPDFHTML

Papers citing "GO Gradient for Expectation-Based Objectives"

6 / 6 papers shown
Title
Learning to segment from object sizes
Learning to segment from object sizes
Denis Baruvcić
Czech Republic
SSeg
13
1
0
01 Jul 2022
Storchastic: A Framework for General Stochastic Automatic
  Differentiation
Storchastic: A Framework for General Stochastic Automatic Differentiation
Emile van Krieken
Jakub M. Tomczak
A. T. Teije
ODL
OffRL
25
15
0
01 Apr 2021
Direct Evolutionary Optimization of Variational Autoencoders With Binary
  Latents
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents
E. Guiraud
Jakob Drefs
Jörg Lücke
DRL
33
3
0
27 Nov 2020
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter
Ayman Boustati
Nikolas Nusken
Francisco J. R. Ruiz
Ömer Deniz Akyildiz
DRL
136
48
0
20 Oct 2020
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
Alexander Shekhovtsov
V. Yanush
B. Flach
MQ
34
10
0
04 Jun 2020
Monte Carlo Gradient Estimation in Machine Learning
Monte Carlo Gradient Estimation in Machine Learning
S. Mohamed
Mihaela Rosca
Michael Figurnov
A. Mnih
22
397
0
25 Jun 2019
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