All Papers

0 / 0 papers shown

Title

Title
Fisher meets Feynman: score-based variational inference with a product of experts Diana Cai Robert Mansel Gower David M. Blei Lawrence K. Saul 129 0 0 24 Oct 2025
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Tobias Pielok B. Bischl David Rügamer 324 0 0 05 Jun 2025
Revisiting Unbiased Implicit Variational Inference Tobias Pielok Bernd Bischl David Rügamer BDL 216 0 0 04 Jun 2025
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 387 11 0 30 Jun 2024
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian ProcessesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Jian Xu Shian Du Junmei Yang Qianli Ma Delu Zeng BDL 325 4 0 22 Sep 2023
Semi-Implicit Variational Inference via Score MatchingInternational Conference on Learning Representations (ICLR), 2023 Longlin Yu Chuxu Zhang 251 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 244 11 0 19 Jan 2023
Langevin Autoencoders for Learning Deep Latent Variable ModelsNeural Information Processing Systems (NeurIPS), 2022 Shohei Taniguchi Yusuke Iwasawa Wataru Kumagai Yutaka Matsuo BDL SyDa 195 2 0 15 Sep 2022
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution J. Dabrowski D. Pagendam UQCV BDL 116 0 0 06 Sep 2022
PAVI: Plate-Amortized Variational Inference Louis Rouillard Thomas Moreau Demian Wassermann 115 1 0 10 Jun 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity RecognitionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Randy Ardywibowo Shahin Boluki Zinan Lin Bobak J. Mortazavi Shuai Huang Xiaoning Qian 161 2 0 31 Mar 2022
Latent space projection predictive inference Alejandro Catalina Paul-Christian Bürkner Aki Vehtari BDL 133 11 0 10 Sep 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 160 22 0 03 Jul 2021
A prior-based approximate latent Riemannian metricInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Georgios Arvanitidis B. Georgiev Bernhard Schölkopf MedIm 145 14 0 09 Mar 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 316 7 0 15 Jan 2021
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Sean Plummer Shuang Zhou A. Bhattacharya David B. Dunson D. Pati DRL 226 2 0 23 Oct 2020
Statistical Guarantees and Algorithmic Convergence Issues of Variational BoostingIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2020 B. Guha A. Bhattacharya D. Pati 329 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 170 1 0 17 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of energy-based modelsInternational Conference on Learning Representations (ICLR), 2020 Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 308 75 0 08 Oct 2020
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov ChainsConference on Uncertainty in Artificial Intelligence (UAI), 2020 Francisco J. R. Ruiz Michalis K. Titsias taylan. cemgil Arnaud Doucet BDL DRL 262 15 0 05 Oct 2020
MCMC-Interactive Variational Inference Quan Zhang Huangjie Zheng Mingyuan Zhou 156 1 0 02 Oct 2020
Bayesian neural networks and dimensionality reduction Deborshee Sen Theodore Papamarkou David B. Dunson BDL 249 5 0 18 Aug 2020
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows Tomasz Kuśmierczyk Arto Klami BDL DRL 170 0 0 28 Jun 2020
Stochastic Normalizing Flows Liam Hodgkinson Christopher van der Heide Fred Roosta Michael W. Mahoney BDL 125 1 0 21 Feb 2020
Implicit Posterior Variational Inference for Deep Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2019 Haibin Yu Yizhou Chen Zhongxiang Dai K. H. Low Patrick Jaillet 197 44 0 26 Oct 2019
Challenges in Markov chain Monte Carlo for Bayesian neural networksStatistical Science (Statist. Sci.), 2019 Theodore Papamarkou Jacob D. Hinkle M. T. Young D. Womble BDL 465 64 0 15 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 187 62 0 09 Oct 2019
Adversarial $α$ -divergence Minimization for Bayesian Approximate Inference Simón Rodríguez Santana Daniel Hernández-Lobato UQCV BDL 178 8 0 13 Sep 2019
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs Víctor Gallego D. Insua BDL 269 1 0 26 Aug 2019
The Thermodynamic Variational ObjectiveNeural Information Processing Systems (NeurIPS), 2019 Vaden Masrani T. Le Frank Wood 654 50 0 28 Jun 2019
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family ApproximationsInternational Conference on Machine Learning (ICML), 2019 Wu Lin Mohammad Emtiyaz Khan Mark Schmidt BDL 261 81 0 07 Jun 2019
Importance Weighted Hierarchical Variational InferenceNeural Information Processing Systems (NeurIPS), 2019 Artem Sobolev Dmitry Vetrov BDL 152 31 0 08 May 2019
Copula-like Variational Inference Marcel Hirt P. Dellaportas Alain Durmus 184 6 0 15 Apr 2019

Title

Fisher meets Feynman: score-based variational inference with a product of experts

129

24 Oct 2025

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent

Tobias Pielok

B. Bischl

David Rügamer

324

05 Jun 2025

Revisiting Unbiased Implicit Variational Inference

216

04 Jun 2025

Particle Semi-Implicit Variational Inference

Jen Ning Lim

A. M. Johansen

387

30 Jun 2024

Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian ProcessesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023

325

22 Sep 2023

Semi-Implicit Variational Inference via Score MatchingInternational Conference on Learning Representations (ICLR), 2023

Longlin Yu

Chuxu Zhang

251

19 Aug 2023

Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition

244

19 Jan 2023

Langevin Autoencoders for Learning Deep Latent Variable ModelsNeural Information Processing Systems (NeurIPS), 2022

195

15 Sep 2022

Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution

J. Dabrowski

D. Pagendam

UQCV BDL

116

06 Sep 2022

PAVI: Plate-Amortized Variational Inference

Louis Rouillard

Thomas Moreau

Demian Wassermann

115

10 Jun 2022

VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity RecognitionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022

161

31 Mar 2022

Latent space projection predictive inference

Alejandro Catalina

Paul-Christian Bürkner

Aki Vehtari

BDL

133

10 Sep 2021

On Out-of-distribution Detection with Energy-based Models

Stephan Günnemann

160

03 Jul 2021

A prior-based approximate latent Riemannian metricInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021

145

09 Mar 2021

Efficient Semi-Implicit Variational Inference

Jun Wang

316

15 Jan 2021

Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020

226

23 Oct 2020

Statistical Guarantees and Algorithmic Convergence Issues of Variational BoostingIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2020

B. Guha

A. Bhattacharya

D. Pati

329

19 Oct 2020

Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter

170

17 Oct 2020

No MCMC for me: Amortized sampling for fast and stable training of energy-based modelsInternational Conference on Learning Representations (ICLR), 2020

308

08 Oct 2020

Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov ChainsConference on Uncertainty in Artificial Intelligence (UAI), 2020

262

05 Oct 2020

MCMC-Interactive Variational Inference

Quan Zhang

Huangjie Zheng

Mingyuan Zhou

156

02 Oct 2020

Bayesian neural networks and dimensionality reduction

249

18 Aug 2020

Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows

Tomasz Kuśmierczyk

Arto Klami

BDL DRL

170

28 Jun 2020

Stochastic Normalizing Flows

Liam Hodgkinson

Christopher van der Heide

Fred Roosta

Michael W. Mahoney

BDL

125

21 Feb 2020

Implicit Posterior Variational Inference for Deep Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2019

197

26 Oct 2019

Challenges in Markov chain Monte Carlo for Bayesian neural networksStatistical Science (Statist. Sci.), 2019

465

15 Oct 2019

Prescribed Generative Adversarial Networks

187

09 Oct 2019

Adversarial

α

-divergence Minimization for Bayesian Approximate Inference

Simón Rodríguez Santana

Daniel Hernández-Lobato

UQCV BDL

178

13 Sep 2019

Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs

Víctor Gallego

D. Insua

BDL

269

26 Aug 2019

The Thermodynamic Variational ObjectiveNeural Information Processing Systems (NeurIPS), 2019

Vaden Masrani

T. Le

Frank Wood

654

28 Jun 2019

Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family ApproximationsInternational Conference on Machine Learning (ICML), 2019

Wu Lin

Mohammad Emtiyaz Khan

Mark Schmidt

BDL

261

07 Jun 2019

Importance Weighted Hierarchical Variational InferenceNeural Information Processing Systems (NeurIPS), 2019

Artem Sobolev

Dmitry Vetrov

BDL

152

08 May 2019

Copula-like Variational Inference

Marcel Hirt

P. Dellaportas

Alain Durmus

184

15 Apr 2019

Title
Fisher meets Feynman: score-based variational inference with a product of experts Diana Cai Robert Mansel Gower David M. Blei Lawrence K. Saul 129 0 0 24 Oct 2025
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Tobias Pielok B. Bischl David Rügamer 324 0 0 05 Jun 2025
Revisiting Unbiased Implicit Variational Inference Tobias Pielok Bernd Bischl David Rügamer BDL 216 0 0 04 Jun 2025
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 387 11 0 30 Jun 2024
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian ProcessesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Jian Xu Shian Du Junmei Yang Qianli Ma Delu Zeng BDL 325 4 0 22 Sep 2023
Semi-Implicit Variational Inference via Score MatchingInternational Conference on Learning Representations (ICLR), 2023 Longlin Yu Chuxu Zhang 251 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 244 11 0 19 Jan 2023
Langevin Autoencoders for Learning Deep Latent Variable ModelsNeural Information Processing Systems (NeurIPS), 2022 Shohei Taniguchi Yusuke Iwasawa Wataru Kumagai Yutaka Matsuo BDL SyDa 195 2 0 15 Sep 2022
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution J. Dabrowski D. Pagendam UQCV BDL 116 0 0 06 Sep 2022
PAVI: Plate-Amortized Variational Inference Louis Rouillard Thomas Moreau Demian Wassermann 115 1 0 10 Jun 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity RecognitionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Randy Ardywibowo Shahin Boluki Zinan Lin Bobak J. Mortazavi Shuai Huang Xiaoning Qian 161 2 0 31 Mar 2022
Latent space projection predictive inference Alejandro Catalina Paul-Christian Bürkner Aki Vehtari BDL 133 11 0 10 Sep 2021
On Out-of-distribution Detection with Energy-based Models Sven Elflein Bertrand Charpentier Daniel Zügner Stephan Günnemann OODD 160 22 0 03 Jul 2021
A prior-based approximate latent Riemannian metricInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Georgios Arvanitidis B. Georgiev Bernhard Schölkopf MedIm 145 14 0 09 Mar 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 316 7 0 15 Jan 2021
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Sean Plummer Shuang Zhou A. Bhattacharya David B. Dunson D. Pati DRL 226 2 0 23 Oct 2020
Statistical Guarantees and Algorithmic Convergence Issues of Variational BoostingIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2020 B. Guha A. Bhattacharya D. Pati 329 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 170 1 0 17 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of energy-based modelsInternational Conference on Learning Representations (ICLR), 2020 Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 308 75 0 08 Oct 2020
Unbiased Gradient Estimation for Variational Auto-Encoders using Coupled Markov ChainsConference on Uncertainty in Artificial Intelligence (UAI), 2020 Francisco J. R. Ruiz Michalis K. Titsias taylan. cemgil Arnaud Doucet BDL DRL 262 15 0 05 Oct 2020
MCMC-Interactive Variational Inference Quan Zhang Huangjie Zheng Mingyuan Zhou 156 1 0 02 Oct 2020
Bayesian neural networks and dimensionality reduction Deborshee Sen Theodore Papamarkou David B. Dunson BDL 249 5 0 18 Aug 2020
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows Tomasz Kuśmierczyk Arto Klami BDL DRL 170 0 0 28 Jun 2020
Stochastic Normalizing Flows Liam Hodgkinson Christopher van der Heide Fred Roosta Michael W. Mahoney BDL 125 1 0 21 Feb 2020
Implicit Posterior Variational Inference for Deep Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2019 Haibin Yu Yizhou Chen Zhongxiang Dai K. H. Low Patrick Jaillet 197 44 0 26 Oct 2019
Challenges in Markov chain Monte Carlo for Bayesian neural networksStatistical Science (Statist. Sci.), 2019 Theodore Papamarkou Jacob D. Hinkle M. T. Young D. Womble BDL 465 64 0 15 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 187 62 0 09 Oct 2019
Adversarial $α$ -divergence Minimization for Bayesian Approximate Inference Simón Rodríguez Santana Daniel Hernández-Lobato UQCV BDL 178 8 0 13 Sep 2019
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs Víctor Gallego D. Insua BDL 269 1 0 26 Aug 2019
The Thermodynamic Variational ObjectiveNeural Information Processing Systems (NeurIPS), 2019 Vaden Masrani T. Le Frank Wood 654 50 0 28 Jun 2019
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family ApproximationsInternational Conference on Machine Learning (ICML), 2019 Wu Lin Mohammad Emtiyaz Khan Mark Schmidt BDL 261 81 0 07 Jun 2019
Importance Weighted Hierarchical Variational InferenceNeural Information Processing Systems (NeurIPS), 2019 Artem Sobolev Dmitry Vetrov BDL 152 31 0 08 May 2019
Copula-like Variational Inference Marcel Hirt P. Dellaportas Alain Durmus 184 6 0 15 Apr 2019

Title

Fisher meets Feynman: score-based variational inference with a product of experts

129

24 Oct 2025

Semi-Implicit Variational Inference via Kernelized Path Gradient Descent

Tobias Pielok

B. Bischl

David Rügamer