Paper Citation Record · LEDGER

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method

As of 16 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:1908.08845.

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pith.paper-citation-record.v1
1908.08845 v3

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Outbound references

Observation b6954db5-084c-470e-bc6f-e1fe3696932f · outbound

This paper cites A BDULLE , Explicit stabilized Runge-Kutta methods, Encyclopedia of Applied and Computational Mathemat- ics, (2015), pp.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method A BDULLE , Explicit stabilized Runge-Kutta methods, Encyclopedia of Applied and Computational Mathemat- ics, (2015), pp

Reference 1

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This paper cites A BDULLE , I.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method A BDULLE , I

Reference 2

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This paper cites A BDULLE AND S.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method A BDULLE AND S

Reference 3

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This paper cites A BDULLE , G.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method A BDULLE , G

Reference 4

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method Unresolved cited work

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This paper cites A RRIDGE , P.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method A RRIDGE , P

Reference 6

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This paper cites An approach to large-scale Quasi-Bayesian inference with spike-and-slab priors.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method An approach to large-scale Quasi-Bayesian inference with spike-and-slab priors

Reference 7

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This paper cites B ECK , First-order methods in optimization , vol.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method B ECK , First-order methods in optimization , vol

Reference 8

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method B ECK AND M

Reference 9

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This paper cites B IANCHI , A.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method B IANCHI , A

Reference 10

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This paper cites B ROSSE , A.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method B ROSSE , A

Reference 11

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method Unresolved cited work

Reference 12

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This paper cites C ARMON , J.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method C ARMON , J

Reference 13

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This paper cites C HAARI , J.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method C HAARI , J

Reference 14

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This paper cites C HAMBOLLE , An algorithm for total variation minimization and applications, Journal of Mathematical imag- ing and vision, 20 (2004), pp.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method C HAMBOLLE , An algorithm for total variation minimization and applications, Journal of Mathematical imag- ing and vision, 20 (2004), pp

Reference 15

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This paper cites C HAMBOLLE AND T.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method C HAMBOLLE AND T

Reference 16

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This paper cites D URMUS , S.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method D URMUS , S

Reference 17

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method D URMUS AND E

Reference 18

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method D URMUS , E

Reference 19

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method E FTEKHARI , B

Reference 20

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method E LSER , T

Reference 21

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This paper cites E LVIRA , P.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method E LVIRA , P

Reference 22

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This paper cites Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part I: Methodology and Experiments.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part I: Methodology and Experiments

Reference 23

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This paper cites Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method Rank-normalization, folding, and localization: An improved $\widehat{R}$ for assessing convergence of MCMC

Reference 24

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Reference 25

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This paper cites G IROLAMI AND B.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method G IROLAMI AND B

Reference 26

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method H OUDARD , C

Reference 29

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method I ORDACHE , J

Reference 30

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method K AIPIO AND E

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method K ESHAVA AND J

Reference 32

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method Unresolved cited work

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method L UCKA , N

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method C ORBINEAU , D

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method M ARNISSI , A

Reference 36

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method M ARNISSI , E

Reference 37

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This paper cites P EREYRA , Proximal Markov chain Monte Carlo algorithms , Statistics and Computing, 26 (2016), pp.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method P EREYRA , Proximal Markov chain Monte Carlo algorithms , Statistics and Computing, 26 (2016), pp

Reference 38

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This paper cites P EREYRA , Maximum-a-posteriori estimation with bayesian conﬁdence regions, SIAM Journal on Imaging Sciences, 10 (2017), pp.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method P EREYRA , Maximum-a-posteriori estimation with bayesian conﬁdence regions, SIAM Journal on Imaging Sciences, 10 (2017), pp

Reference 39

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method P EREYRA , P

Reference 40

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method R EPETTI , M

Reference 41

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This paper cites R OBERT , The Bayesian choice: from decision-theoretic foundations to computational implementation , Springer Science & Business Media, 2007.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method R OBERT , The Bayesian choice: from decision-theoretic foundations to computational implementation , Springer Science & Business Media, 2007

Reference 42

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method Unresolved cited work

Reference 43

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method R OMANO , M

Reference 44

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Reference 45

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This paper cites V ONO , N.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method V ONO , N

Reference 46

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Observation 12041ccf-a496-483c-a6c8-7f5bc50ffe8f · outbound

This paper cites V ONO , N.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method V ONO , N

Reference 47

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Observation b7e62c19-d6e9-4f09-b17f-9947885b7b36 · outbound

This paper cites V ONO , N.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method V ONO , N

Reference 48

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Observation 59334255-32ad-4dfb-b0cb-74075aa29cfc · outbound

This paper cites Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting

Reference 49

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This paper cites W IBISONO , A.

Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method W IBISONO , A

Reference 50

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Observation d55fed5b-50d9-4e6f-8fe4-b6c099763a71 · outbound

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method W IPF AND H

Reference 51

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Observation d29291c7-1893-4e11-afee-41faf1d602e9 · outbound

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Accelerating proximal Markov chain Monte Carlo by using an explicit stabilised method Unresolved cited work

Reference 52

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Pith citing papers

No inbound Pith citation observations are available.