Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1808.02078
Cited By
v1
v2
v3 (latest)
Unbiased Implicit Variational Inference
6 August 2018
Michalis K. Titsias
Francisco J. R. Ruiz
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Unbiased Implicit Variational Inference"
33 / 33 papers shown
Fisher meets Feynman: score-based variational inference with a product of experts
Diana Cai
Robert Mansel Gower
David M. Blei
Lawrence K. Saul
150
0
0
24 Oct 2025
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent
Tobias Pielok
B. Bischl
David Rügamer
340
0
0
05 Jun 2025
Revisiting Unbiased Implicit Variational Inference
Tobias Pielok
Bernd Bischl
David Rügamer
BDL
231
0
0
04 Jun 2025
Particle Semi-Implicit Variational Inference
Jen Ning Lim
A. M. Johansen
389
11
0
30 Jun 2024
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Jian Xu
Shian Du
Junmei Yang
Qianli Ma
Delu Zeng
BDL
344
4
0
22 Sep 2023
Semi-Implicit Variational Inference via Score Matching
International Conference on Learning Representations (ICLR), 2023
Longlin Yu
Chuxu Zhang
261
18
0
19 Aug 2023
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
Juan Carrasquilla
Mohamed Hibat-Allah
E. Inack
Alireza Makhzani
Kirill Neklyudov
Graham Taylor
G. Torlai
MQ
276
11
0
19 Jan 2023
Langevin Autoencoders for Learning Deep Latent Variable Models
Neural Information Processing Systems (NeurIPS), 2022
Shohei Taniguchi
Yusuke Iwasawa
Wataru Kumagai
Yutaka Matsuo
BDL
SyDa
212
2
0
15 Sep 2022
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution
J. Dabrowski
D. Pagendam
UQCV
BDL
137
0
0
06 Sep 2022
PAVI: Plate-Amortized Variational Inference
Louis Rouillard
Thomas Moreau
Demian Wassermann
123
1
0
10 Jun 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Randy Ardywibowo
Shahin Boluki
Zinan Lin
Bobak J. Mortazavi
Shuai Huang
Xiaoning Qian
163
2
0
31 Mar 2022
Latent space projection predictive inference
Alejandro Catalina
Paul-Christian Bürkner
Aki Vehtari
BDL
140
11
0
10 Sep 2021
On Out-of-distribution Detection with Energy-based Models
Sven Elflein
Bertrand Charpentier
Daniel Zügner
Stephan Günnemann
OODD
161
22
0
03 Jul 2021
A prior-based approximate latent Riemannian metric
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Georgios Arvanitidis
B. Georgiev
Bernhard Schölkopf
MedIm
146
14
0
09 Mar 2021
Efficient Semi-Implicit Variational Inference
Vincent Moens
Hang Ren
A. Maraval
Rasul Tutunov
Jun Wang
H. Ammar
327
7
0
15 Jan 2021
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Sean Plummer
Shuang Zhou
A. Bhattacharya
David B. Dunson
D. Pati
DRL
227
2
0
23 Oct 2020
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2020
B. Guha
A. Bhattacharya
D. Pati
334
2
0
19 Oct 2020
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter
Tsuyoshi Ishizone
T. Higuchi
Kazuyuki Nakamura
BDL
186
1
0
17 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
International Conference on Learning Representations (ICLR), 2020
Will Grathwohl
Jacob Kelly
Milad Hashemi
Mohammad Norouzi
Kevin Swersky
David Duvenaud
338
75
0
08 Oct 2020
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov Chains
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Francisco J. R. Ruiz
Michalis K. Titsias
taylan. cemgil
Arnaud Doucet
BDL
DRL
274
15
0
05 Oct 2020
MCMC-Interactive Variational Inference
Quan Zhang
Huangjie Zheng
Mingyuan Zhou
187
1
0
02 Oct 2020
Bayesian neural networks and dimensionality reduction
Deborshee Sen
Theodore Papamarkou
David B. Dunson
BDL
251
5
0
18 Aug 2020
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows
Tomasz Kuśmierczyk
Arto Klami
BDL
DRL
171
0
0
28 Jun 2020
Stochastic Normalizing Flows
Liam Hodgkinson
Christopher van der Heide
Fred Roosta
Michael W. Mahoney
BDL
129
1
0
21 Feb 2020
Implicit Posterior Variational Inference for Deep Gaussian Processes
Neural Information Processing Systems (NeurIPS), 2019
Haibin Yu
Yizhou Chen
Zhongxiang Dai
K. H. Low
Patrick Jaillet
208
44
0
26 Oct 2019
Challenges in Markov chain Monte Carlo for Bayesian neural networks
Statistical Science (Statist. Sci.), 2019
Theodore Papamarkou
Jacob D. Hinkle
M. T. Young
D. Womble
BDL
471
64
0
15 Oct 2019
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
209
61
0
09 Oct 2019
Adversarial
α
α
α
-divergence Minimization for Bayesian Approximate Inference
Simón Rodríguez Santana
Daniel Hernández-Lobato
UQCV
BDL
187
8
0
13 Sep 2019
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs
Víctor Gallego
D. Insua
BDL
306
1
0
26 Aug 2019
The Thermodynamic Variational Objective
Neural Information Processing Systems (NeurIPS), 2019
Vaden Masrani
T. Le
Frank Wood
694
50
0
28 Jun 2019
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations
International Conference on Machine Learning (ICML), 2019
Wu Lin
Mohammad Emtiyaz Khan
Mark Schmidt
BDL
288
81
0
07 Jun 2019
Importance Weighted Hierarchical Variational Inference
Neural Information Processing Systems (NeurIPS), 2019
Artem Sobolev
Dmitry Vetrov
BDL
157
31
0
08 May 2019
Copula-like Variational Inference
Marcel Hirt
P. Dellaportas
Alain Durmus
185
6
0
15 Apr 2019
1
