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Pathwise Derivatives Beyond the Reparameterization Trick

Pathwise Derivatives Beyond the Reparameterization Trick

5 June 2018
M. Jankowiak
F. Obermeyer
ArXivPDFHTML

Papers citing "Pathwise Derivatives Beyond the Reparameterization Trick"

9 / 9 papers shown
Title
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem
Roumen Nikolaev Popov
24
0
0
16 Apr 2024
Reparameterized Variational Rejection Sampling
Reparameterized Variational Rejection Sampling
M. Jankowiak
Du Phan
DRL
BDL
13
1
0
26 Sep 2023
Is Automated Topic Model Evaluation Broken?: The Incoherence of
  Coherence
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Alexander Miserlis Hoyle
Pranav Goel
Denis Peskov
Andrew Hian-Cheong
Jordan L. Boyd-Graber
Philip Resnik
30
126
0
05 Jul 2021
Differentiable Particle Filtering without Modifying the Forward Pass
Differentiable Particle Filtering without Modifying the Forward Pass
Adam Scibior
Frank D. Wood
20
19
0
18 Jun 2021
Dirichlet Pruning for Neural Network Compression
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski
Mijung Park
22
3
0
10 Nov 2020
Flexible mean field variational inference using mixtures of
  non-overlapping exponential families
Flexible mean field variational inference using mixtures of non-overlapping exponential families
J. Spence
13
4
0
14 Oct 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Raphaël Dang-Nhu
Gagandeep Singh
Pavol Bielik
Martin Vechev
AI4TS
AAML
25
20
0
08 Mar 2020
PAC-Bayes with Backprop
PAC-Bayes with Backprop
Omar Rivasplata
Vikram Tankasali
Csaba Szepesvári
11
49
0
19 Aug 2019
Stochastic Backpropagation through Mixture Density Distributions
Stochastic Backpropagation through Mixture Density Distributions
Alex Graves
BDL
49
45
0
19 Jul 2016
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