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Forward Amortized Inference for Likelihood-Free Variational
  Marginalization

Forward Amortized Inference for Likelihood-Free Variational Marginalization

29 May 2018
Luca Ambrogioni
Umut Güçlü
Julia Berezutskaya
Eva W. P. van den Borne
Yağmur Güçlütürk
Max Hinne
E. Maris
Marcel van Gerven
    BDLVLM
ArXiv (abs)PDFHTML

Papers citing "Forward Amortized Inference for Likelihood-Free Variational Marginalization"

12 / 12 papers shown
Consistent Zero-Shot Imitation with Contrastive Goal Inference
Consistent Zero-Shot Imitation with Contrastive Goal Inference
Kathryn Wantlin
Chongyi Zheng
Benjamin Eysenbach
181
0
0
20 Oct 2025
Neural Posterior Estimation with Autoregressive Tiling for Detecting Objects in Astronomical Images
Neural Posterior Estimation with Autoregressive Tiling for Detecting Objects in Astronomical Images
Jeffrey Regier
3DPC
150
1
0
03 Oct 2025
Robust and highly scalable estimation of directional couplings from time-shifted signals
Robust and highly scalable estimation of directional couplings from time-shifted signals
Luca Ambrogioni
Louis Rouillard
Demian Wassermann
341
1
0
28 Jan 2025
Globally Convergent Variational Inference
Globally Convergent Variational InferenceNeural Information Processing Systems (NeurIPS), 2025
Declan McNamara
J. Loper
Jeffrey Regier
313
0
0
14 Jan 2025
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Sebastian Sanokowski
Sepp Hochreiter
Sebastian Lehner
355
45
0
03 Jun 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized
  Variational Inference
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
Declan McNamara
J. Loper
Jeffrey Regier
BDL
248
6
0
15 Mar 2024
Conformal Contextual Robust Optimization
Conformal Contextual Robust Optimization
Yash Patel
Sahana Rayan
Ambuj Tewari
402
22
0
16 Oct 2023
Amortized Variational Inference with Coverage Guarantees
Amortized Variational Inference with Coverage GuaranteesInternational Conference on Machine Learning (ICML), 2023
Yash Patel
Declan McNamara
J. Loper
Jeffrey Regier
Ambuj Tewari
BDL
312
0
0
23 May 2023
Statistical Inference for Coadded Astronomical Images
Statistical Inference for Coadded Astronomical Images
Mallory Wang
I. Mendoza
Cheng Wang
Camille Avestruz
Jeffrey Regier
181
0
0
17 Nov 2022
Scalable Bayesian Inference for Detection and Deblending in Astronomical
  Images
Scalable Bayesian Inference for Detection and Deblending in Astronomical Images
Derek Hansen
I. Mendoza
Runjing Liu
Ziteng Pang
Zhenjun Zhao
Camille Avestruz
Jeffrey Regier
180
6
0
12 Jul 2022
Amortized Inference for Causal Structure Learning
Amortized Inference for Causal Structure LearningNeural Information Processing Systems (NeurIPS), 2022
Lars Lorch
Scott Sussex
Jonas Rothfuss
Andreas Krause
Bernhard Schölkopf
CML
436
79
0
25 May 2022
Variational Inference for Deblending Crowded Starfields
Variational Inference for Deblending Crowded StarfieldsJournal of machine learning research (JMLR), 2021
Runjing Liu
Jon D. McAuliffe
Jeffrey Regier
BDL
191
11
0
04 Feb 2021
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