Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching | Paper Citation Record

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This paper cites A general method for numerically simulating the stochastic time evolution of coupled chemical reactions.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching A general method for numerically simulating the stochastic time evolution of coupled chemical reactions

Reference 1

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This paper cites On Bayesian inference for the M/G/1 queue with efficient MCMC sampling.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching On Bayesian inference for the M/G/1 queue with efficient MCMC sampling

Reference 2

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This paper cites Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology

Reference 3

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This paper cites Trimmed comparison of distributions.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Trimmed comparison of distributions

Reference 4

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This paper cites The rate of convergence for approximate bayesian computation.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching The rate of convergence for approximate bayesian computation

Reference 5

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This paper cites Adaptive approximate bayesian computation.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Adaptive approximate bayesian computation

Reference 6

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This paper cites The likelihood principle.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching The likelihood principle

Reference 7

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This paper cites Approximate bayesian computation with the wasserstein distance.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Approximate bayesian computation with the wasserstein distance

Reference 8

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This paper cites New insights into approximate bayesian computation.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching New insights into approximate bayesian computation

Reference 9

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This paper cites Sequential monte carlo with adaptive weights for approximate bayesian computation.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Sequential monte carlo with adaptive weights for approximate bayesian computation

Reference 10

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This paper cites Unidimensional and evolution methods for optimal transportation.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Unidimensional and evolution methods for optimal transportation

Reference 11

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This paper cites Approximate bayesian computation for astronomical model analysis: a case study in galaxy demographics and morphological transformation at high redshift.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Approximate bayesian computation for astronomical model analysis: a case study in galaxy demographics and morphological transformation at high redshift

Reference 12

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This paper cites Approximate Bayesian Computation for Physical Inverse Modeling.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Approximate Bayesian Computation for Physical Inverse Modeling

Reference 13

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This paper cites Univariate-Guided Sparse Regression.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Univariate-Guided Sparse Regression

Reference 14

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Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Unresolved cited work

Reference 15

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This paper cites Implicit quantile networks for distributional reinforcement learning.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Implicit quantile networks for distributional reinforcement learning

Reference 16

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This paper cites An adaptive sequential monte carlo method for approximate bayesian computation.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching An adaptive sequential monte carlo method for approximate bayesian computation

Reference 17

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This paper cites Dynamics of a discrete lotka-volterra model.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Dynamics of a discrete lotka-volterra model

Reference 18

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This paper cites Improving the accuracy of marginal approximations in likelihood-free inference via localization.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Improving the accuracy of marginal approximations in likelihood-free inference via localization

Reference 19

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Observation 65cf0210-8154-4b0f-86a2-4e1ead86e218 · outbound

This paper cites Constructing abc summary statistics: semi-automatic abc.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Constructing abc summary statistics: semi-automatic abc

Reference 20

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This paper cites Constructing summary statistics for approximate bayesian computation: semi-automatic approximate bayesian computation.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Constructing summary statistics for approximate bayesian computation: semi-automatic approximate bayesian computation

Reference 21

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This paper cites Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach

Reference 22

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This paper cites Exponential tail bounds for chisquared random variables.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Exponential tail bounds for chisquared random variables

Reference 23

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This paper cites Bayesian sufficiency in survey-sampling.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Bayesian sufficiency in survey-sampling

Reference 24

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This paper cites Automatic posterior transformation for likelihood-free inference.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Automatic posterior transformation for likelihood-free inference

Reference 25

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This paper cites Improved training of wasserstein gans.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Improved training of wasserstein gans

Reference 26

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This paper cites Robust estimation of a location parameter.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Robust estimation of a location parameter

Reference 27

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This paper cites Approximate bayesian computation with kullback-leibler divergence as data discrepancy.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Approximate bayesian computation with kullback-leibler divergence as data discrepancy

Reference 28

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This paper cites Learning summary statistic for approximate bayesian computation via deep neural network.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Learning summary statistic for approximate bayesian computation via deep neural network

Reference 29

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This paper cites Foundations of modern probability, volume 2.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Foundations of modern probability, volume 2

Reference 30

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This paper cites Deep Generative Quantile Bayes.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Deep Generative Quantile Bayes

Reference 31

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This paper cites Regression quantiles.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Regression quantiles

Reference 32

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This paper cites Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity

Reference 33

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This paper cites Efficient Generative Modeling via Penalized Optimal Transport Network.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Efficient Generative Modeling via Penalized Optimal Transport Network

Reference 34

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This paper cites Minimax confidence intervals for the sliced wasserstein distance.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Minimax confidence intervals for the sliced wasserstein distance

Reference 35

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This paper cites Approximate bayesian computational methods.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Approximate bayesian computational methods

Reference 36

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This paper cites Reconstruction and simulation of neocortical microcircuitry.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Reconstruction and simulation of neocortical microcircuitry

Reference 37

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This paper cites Elicitation of multivariate prior distributions: A nonparametric bayesian approach.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Elicitation of multivariate prior distributions: A nonparametric bayesian approach

Reference 38

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This paper cites Asymptotic guarantees for learning generative models with the sliced-wasserstein distance.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Asymptotic guarantees for learning generative models with the sliced-wasserstein distance

Reference 39

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This paper cites Quantile regression with relu networks: Estimators and minimax rates.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Quantile regression with relu networks: Estimators and minimax rates

Reference 40

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This paper cites Fast -free inference of simulation models with bayesian conditional density estimation.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Fast -free inference of simulation models with bayesian conditional density estimation

Reference 41

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This paper cites Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows

Reference 42

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Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Generative AI for Bayesian Computation

Reference 43

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This paper cites Adapting the abc distance function.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Adapting the abc distance function

Reference 44

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This paper cites Wasserstein barycenter and its application to texture mixing.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Wasserstein barycenter and its application to texture mixing

Reference 45

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This paper cites The transportation cost from the uniform measure to the empirical measure in dimension 3.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching The transportation cost from the uniform measure to the empirical measure in dimension 3

Reference 46

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This paper cites On the history of abc.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching On the history of abc

Reference 47

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This paper cites Gonçalves, David S.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Gonçalves, David S

Reference 48

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This paper cites Optimal transport: old and new, volume 338.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Optimal transport: old and new, volume 338

Reference 49

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This paper cites Adversarial bayesian simulation.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Adversarial bayesian simulation

Reference 50

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This paper cites Statistical inference for noisy nonlinear ecological dynamic systems.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching Statistical inference for noisy nonlinear ecological dynamic systems

Reference 51

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This paper cites A novel adaptive approximate bayesian computation method for inverse heat conduction problem.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching A novel adaptive approximate bayesian computation method for inverse heat conduction problem

Reference 52

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Observation 4c7ce575-5d7f-46b9-be80-1d3a1c07f799 · outbound

This paper cites A deep generative approach to conditional sampling.

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching A deep generative approach to conditional sampling

Reference 53

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