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Pathwise Derivatives for Multivariate Distributions
v1v2 (latest)

Pathwise Derivatives for Multivariate Distributions

5 June 2018
M. Jankowiak
Theofanis Karaletsos
ArXiv (abs)PDFHTML

Papers citing "Pathwise Derivatives for Multivariate Distributions"

6 / 6 papers shown
A unified view of likelihood ratio and reparameterization gradients
A unified view of likelihood ratio and reparameterization gradientsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Paavo Parmas
Masashi Sugiyama
133
9
0
31 May 2021
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning
Yoon-Yeong Kim
Kyungwoo Song
Joonho Jang
Il-Chul Moon
226
4
0
09 Nov 2020
Monte Carlo Gradient Estimation in Machine Learning
Monte Carlo Gradient Estimation in Machine LearningJournal of machine learning research (JMLR), 2019
S. Mohamed
Mihaela Rosca
Michael Figurnov
A. Mnih
338
470
0
25 Jun 2019
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
George Tucker
Dieterich Lawson
S. Gu
Chris J. Maddison
BDL
225
111
0
09 Oct 2018
Deep Diffeomorphic Normalizing Flows
Deep Diffeomorphic Normalizing Flows
Hadi Salman
Payman Yadollahpour
Tom Fletcher
N. Batmanghelich
159
27
0
08 Oct 2018
Implicit Reparameterization Gradients
Implicit Reparameterization Gradients
Michael Figurnov
S. Mohamed
A. Mnih
BDL
553
247
0
22 May 2018
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