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2002.00643
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Automatic structured variational inference
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
3 February 2020
Luca Ambrogioni
Kate Lin
Emily Fertig
Sharad Vikram
Max Hinne
Dave Moore
Marcel van Gerven
BDL
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Papers citing
"Automatic structured variational inference"
24 / 24 papers shown
Torchtree: flexible phylogenetic model development and inference using PyTorch
Mathieu Fourment
Matthew Macaulay
Christiaan J. Swanepoel
Xiang Ji
M. Suchard
Frederick A Matsen IV
BDL
199
2
0
26 Jun 2024
Understanding and mitigating difficulties in posterior predictive evaluation
Abhinav Agrawal
Justin Domke
UQCV
280
0
0
30 May 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families
International Conference on Machine Learning (ICML), 2024
Joohwan Ko
Kyurae Kim
W. Kim
Jacob R. Gardner
BDL
589
6
0
19 Jan 2024
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
Neural Information Processing Systems (NeurIPS), 2023
Tim Reichelt
C. Ong
Tom Rainforth
271
3
0
01 Nov 2023
Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems
R. Grumitt
M. Karamanis
U. Seljak
327
3
0
20 Sep 2023
Amortized Variational Inference: When and Why?
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
C. Margossian
David M. Blei
445
24
0
20 Jul 2023
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
International Conference on Machine Learning (ICML), 2023
Vy Vo
Trung Le
L. Vuong
He Zhao
Edwin V. Bonilla
Dinh Q. Phung
OT
375
5
0
25 May 2023
Computing with Categories in Machine Learning
Artificial General Intelligence (AGI), 2023
Eli Sennesh
T. Xu
Yoshihiro Maruyama
315
2
0
07 Mar 2023
Structured variational approximations with skew normal decomposable graphical models
Journal of Computational And Graphical Statistics (JCGS), 2023
Roberto Salomone
Xue Yu
David J. Nott
Robert Kohn
212
6
0
07 Feb 2023
Federated Variational Inference Methods for Structured Latent Variable Models
Conor Hassan
Roberto Salomone
Kerrie Mengersen
BDL
FedML
335
5
0
07 Feb 2023
Introducing Variational Inference in Statistics and Data Science Curriculum
American Statistician (Am. Stat.), 2023
Vojtech Kejzlar
Jingchen Hu
249
4
0
03 Jan 2023
TreeFlow: probabilistic programming and automatic differentiation for phylogenetics
Christiaan J. Swanepoel
Mathieu Fourment
Xiang Ji
Hassan Nasif
M. Suchard
IV FrederickAMatsen
A. Drummond
AI4CE
191
4
0
09 Nov 2022
PAVI: Plate-Amortized Variational Inference
Louis Rouillard
Thomas Moreau
Demian Wassermann
154
1
0
10 Jun 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
International Conference on Machine Learning (ICML), 2022
Tomas Geffner
Justin Domke
251
6
0
08 Mar 2022
Amortized Variational Inference for Simple Hierarchical Models
Neural Information Processing Systems (NeurIPS), 2021
Abhinav Agrawal
Justin Domke
BDL
149
29
0
04 Nov 2021
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
International Conference on Learning Representations (ICLR), 2021
Gianluigi Silvestri
Emily Fertig
David A. Moore
Luca Ambrogioni
BDL
TPM
AI4CE
464
4
0
12 Oct 2021
Structured Stochastic Gradient MCMC
International Conference on Machine Learning (ICML), 2021
Antonios Alexos
Alex Boyd
Stephan Mandt
BDL
363
14
0
19 Jul 2021
Black Box Variational Bayesian Model Averaging
Vojtech Kejzlar
Shrijita Bhattacharya
Mookyong Son
T. Maiti
BDL
274
4
0
23 Jun 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
Louis Rouillard
Demian Wassermann
232
2
0
23 Jun 2021
Nested Variational Inference
Neural Information Processing Systems (NeurIPS), 2021
Heiko Zimmermann
Hao Wu
Babak Esmaeili
Jan-Willem van de Meent
BDL
187
24
0
21 Jun 2021
Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception
Pablo Lanillos
Marcel van Gerven
AI4CE
215
12
0
10 May 2021
Automatic variational inference with cascading flows
International Conference on Machine Learning (ICML), 2021
Luca Ambrogioni
Gianluigi Silvestri
Marcel van Gerven
TPM
BDL
202
10
0
09 Feb 2021
Automatic Backward Filtering Forward Guiding for Markov processes and graphical models
Frank van der Meulen
Moritz Schauer
225
14
0
07 Oct 2020
Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration
Statistics and computing (Stat. Comput.), 2020
Vojtech Kejzlar
T. Maiti
291
7
0
28 Mar 2020
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