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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 124 occurrences of 85 keywords
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Results
Found 191 publication records. Showing 191 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
199 | Jo Eidsvik, Håkon Tjelmeland |
On directional Metropolis-Hastings algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(1), pp. 93-106, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Adaptive direction sampling, Angular Gaussian distribution, Seismic inversion, Markov Chain Monte Carlo, Auxiliary variables, Reversible jump MCMC, Metropolis-Hastings |
170 | Bo Cai, Renate Meyer, François Perron |
Metropolis-Hastings algorithms with adaptive proposals. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(4), pp. 421-433, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Adaptive rejection Metropolis sampling, Non-conjugate distribution, Bayesian inference, Markov chain Monte Carlo, State-space model |
139 | Khwunta Kirimasthong, Aompilai Manorat, Jeerayut Chaijaruwanich, Sukon Prasitwattanaseree, Chinae Thammarongtham |
Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007, Proceedings, pp. 276-286, 2007, Springer, 978-3-540-73870-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Transcriptional expression analysis, Bayesian network, Gene regulatory network, Metropolis-Hastings algorithm |
127 | David J. John, Jacquelyn S. Fetrow, James L. Norris |
Metropolis-Hastings Algorithm and Continuous Regression for finding Next-State Models of Protein Modification using Information Scores. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBE ![In: Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2007, October 14-17, 2007, Harvard Medical School, Boston, MA, USA, pp. 35-41, 2007, IEEE Computer Society, 978-1-4244-1509-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
101 | Matthew A. Bognar, Mary Kathryn Cowles |
Bayesian inference for pairwise interacting point processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 14(2), pp. 109-117, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
pairwise interacting point process, grid-based importance sampling, spatial point pattern, Swedish pine sapling data, Bayesian estimation, Metropolis-Hastings algorithm |
71 | Nizar Bouguila, Djemel Ziou, Riad I. Hammoud |
On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Anal. Appl. ![In: Pattern Anal. Appl. 12(2), pp. 151-166, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Generalized Dirichlet mixture, SVM, Images classification, EM, Gibbs sampling, Bayesian analysis, Metropolis-Hastings |
71 | Tetsuya Takaishi |
An Adaptive Markov Chain Monte Carlo Method for GARCH Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Complex (2) ![In: Complex Sciences, First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 2, pp. 1424-1434, 2009, Springer, 978-3-642-02468-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hastings algorithm |
71 | Atish Das Sarma, Danupon Nanongkai, Gopal Pandurangan |
Fast distributed random walks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PODC ![In: Proceedings of the 28th Annual ACM Symposium on Principles of Distributed Computing, PODC 2009, Calgary, Alberta, Canada, August 10-12, 2009, pp. 161-170, 2009, ACM, 978-1-60558-396-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
metropolis-hastings sampling, distributed algorithm, random walks, random sampling |
71 | Trevor Sweeting, Samer Kharroubi |
Application of a predictive distribution formula to Bayesian computation for incomplete data models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 15(3), pp. 167-178, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Laplace approximation, predictive distribution, simulation, importance sampling, missing data, latent variables, asymptotic approximation, Metropolis-Hastings, data augmentation, Bayesian computation |
71 | Jonathan J. Forster, John W. McDonald, Peter W. F. Smith |
Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 13(2), pp. 169-177, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
conditional inference, exact confidence interval, exact test, Markov chain Monte Carlo, logistic regression, Metropolis-Hastings algorithm, goodness-of-fit test, residual analysis |
71 | Robert G. Aykroyd |
Bayesian Estimation for Homogeneous and Inhomogeneous Gaussian Random Fields. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 20(5), pp. 533-539, 1998. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
compound Gauss-Markov random fields, coupled random fields, doubly stochastic random fields, Markov random fields, Metropolis-Hastings algorithm, Adaptive smoothing |
68 | Jorge Muruzábal |
On the Emulation of Kohonen's Self-Organization via Single-Map Metropolis-Hastings Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
International Conference on Computational Science (2) ![In: Computational Science - ICCS 2001, International Conference, San Francisco, CA, USA, May 28-30, 2001. Proceedings, Part II, pp. 346-355, 2001, Springer, 3-540-42233-1. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
60 | Tetsuya Takaishi |
Markov Chain Monte Carlo on Asymmetric GARCH Model Using the Adaptive Construction Scheme. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (1) ![In: Emerging Intelligent Computing Technology and Applications, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009. Proceedings, pp. 1112-1121, 2009, Springer, 978-3-642-04069-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
GJR-GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hasting algorithm |
60 | Jonathan M. Keith, Dirk P. Kroese, George Y. Sofronov |
Adaptive independence samplers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(4), pp. 409-420, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Generalized Markov sampler, Markov chain Monte Carlo, Comparative genomics, Cross-entropy, Adaptive methods |
60 | David J. Nott, Anthony Y. C. Kuk, Hiep Duc |
Efficient sampling schemes for Bayesian MARS models with many predictors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 15(2), pp. 93-101, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
multivariate adaptive regression splines, high-dimensional regression, Bayesian inference, Markov chain Monte Carlo, nonparametric regression |
43 | Nicos Angelopoulos, James Cussens |
Bayesian learning of Bayesian networks with informative priors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Ann. Math. Artif. Intell. ![In: Ann. Math. Artif. Intell. 54(1-3), pp. 53-98, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Mathematics Subject Classifications (2000) 68T05, 68T27 |
42 | Nizar Bouguila, Djemel Ziou, Ernest Monga |
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(2), pp. 215-225, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Mixture modeling, Maximum likelihood, EM, SAR images, Gibbs sampling, Bayesian analysis, SEM, Beta distribution, Metropolis-Hastings |
42 | Heikki Haario, Marko Laine, Antonietta Mira, Eero Saksman |
DRAM: Efficient adaptive MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(4), pp. 339-354, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Adaptive Markov chain Monte Carlo, Adaptive Metropolis-Hastings, Delayed rejection, Efficiency ordering |
42 | Yongtao Guan, Roland Fleißner, Paul Joyce, Stephen M. Krone |
Markov Chain Monte Carlo in small worlds. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(2), pp. 193-202, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Proposal distributions, Markov Chain Monte Carlo, Importance sampling, Small-world networks, Metropolis-Hastings algorithm |
42 | Gersende Fort, Eric Moulines, Sean P. Meyn, Pierre Priouret |
ODE methods for Markov chain stability with applications to MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
VALUETOOLS ![In: Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, VALUETOOLS 2006, Pisa, Italy, October 11-13, 2006, pp. 42, 2006, ACM, 1-59593-504-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
fluid limit stability, fluid limits for general state-space Markov chains, Markov chain Monte-Carlo, metropolis-hastings algorithm |
42 | Andrey Feuerverger, Jeffrey S. Rosenthal |
Achieving limiting distributions for Markov chains using back buttons. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 14(2), pp. 131-141, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
back button, backoff process, BACKMET algorithm, World Wide Web, Metropolis-Hastings algorithm |
42 | Paul Gustafson, Ying C. MacNab, Sijin Wen |
On the Value of derivative evaluations and random walk suppression in Markov Chain Monte Carlo algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 14(1), pp. 23-38, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
hybrid Monte Carlo, Langevin Monte Carlo, random walk suppression, Markov chain Monte Carlo, Metropolis-Hastings algorithm |
42 | Hong-Tu Zhu, Sik-Yum Lee |
Analysis of generalized linear mixed models via a stochastic approximation algorithm with Markov chain Monte-Carlo method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(2), pp. 175-183, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
completed-data log-likelihood, generalized linear mixed model, salamander data, Markov chain Monte-Carlo, stochastic approximation, Metropolis-Hastings algorithm |
42 | Petros Dellaportas, Jonathan J. Forster, Ioannis Ntzoufras |
On Bayesian model and variable selection using MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(1), pp. 27-36, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
independence sampler, Gibbs sampler, reversible jump, Metropolis-Hastings |
42 | Eric Veach, Leonidas J. Guibas |
Metropolis light transport. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGGRAPH ![In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1997, Los Angeles, CA, USA, August 3-8, 1997, pp. 65-76, 1997, ACM, 0-89791-896-7. The full citation details ...](Pics/full.jpeg) |
1997 |
DBLP DOI BibTeX RDF |
physically-based rendering, radiative heat transfer, global illumination, variance reduction, Metropolis-Hastings algorithm, Markov Chain Monte Carlo methods, lighting simulation, Monte Carlo integration |
38 | Austin Brown, Galin L. Jones |
Exact convergence analysis for metropolis-hastings independence samplers in Wasserstein distances. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Appl. Probab. ![In: J. Appl. Probab. 61(1), pp. 33-54, March 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
38 | Ali Safa, Vikrant Jaltare, Samira Sebt, Kameron Gano, Johannes Leugering, Georges G. E. Gielen, Gert Cauwenberghs |
Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2402.06284, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
38 | Angelos Alexopoulos, Petros Dellaportas, Michalis K. Titsias |
Variance reduction for Metropolis-Hastings samplers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 33(1), pp. 6, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Tadahiro Taniguchi, Yuto Yoshida, Yuta Matsui, Nguyen Le Hoang, Akira Taniguchi, Yoshinobu Hagiwara |
Emergent communication through Metropolis-Hastings naming game with deep generative models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Adv. Robotics ![In: Adv. Robotics 37(19), pp. 1266-1282, October 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Ryota Okumura, Tadahiro Taniguchi, Yoshinobu Hagiwara, Akira Taniguchi |
Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Frontiers Artif. Intell. ![In: Frontiers Artif. Intell. 6, February 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Jun Inukai, Tadahiro Taniguchi, Akira Taniguchi, Yoshinobu Hagiwara |
Recursive Metropolis-Hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Frontiers Artif. Intell. ![In: Frontiers Artif. Intell. 6, February 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone |
Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis-Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIAM/ASA J. Uncertain. Quantification ![In: SIAM/ASA J. Uncertain. Quantification 11(1), pp. 91-138, March 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Wanrong Zhang 0001, Ruqi Zhang |
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2303.06171, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick |
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2312.04510, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Gaurav Arya, Ruben Seyer, Frank Schäfer, Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka, Chris Rackauckas, Kartik Chandra, Moritz Schauer |
Differentiating Metropolis-Hastings to Optimize Intractable Densities. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2306.07961, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Ryota Okumura, Tadahiro Taniguchi, Yoshinobu Hagiwara, Akira Taniguchi |
Metropolis-Hastings algorithm in joint-attention naming game: Experimental semiotics study. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2305.19936, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Sebastian Bieringer, Gregor Kasieczka, Maximilian F. Steffen, Mathias Trabs |
Statistical guarantees for stochastic Metropolis-Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2310.09335, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Jun Inukai, Tadahiro Taniguchi, Akira Taniguchi, Yoshinobu Hagiwara |
Recursive Metropolis-Hastings Naming Game: Symbol Emergence in a Multi-agent System based on Probabilistic Generative Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2305.19761, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Erik Cuevas, Héctor Escobar, Ram Sarkar, Heba F. Eid |
A new population initialization approach based on Metropolis-Hastings (MH) method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Intell. ![In: Appl. Intell. 53(13), pp. 16575-16593, July 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick |
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoNLL ![In: Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023, pp. 403-413, 2023, Association for Computational Linguistics, 979-8-89176-039-4. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
38 | Wanrong Zhang 0001, Ruqi Zhang |
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA., pp. 41847-41860, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
38 | Andrew Golightly, Chris Sherlock |
Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 32(1), pp. 21, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Kaijie Huang, Jie Cao 0014 |
Multi-prediction metropolis hastings resampling filtering algorithm based on CUDA. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Microprocess. Microsystems ![In: Microprocess. Microsystems 93, pp. 104576, September 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha 0001, Hyunwoo J. Kim |
Metropolis-Hastings Data Augmentation for Graph Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2203.14082, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Tadahiro Taniguchi, Yuto Yoshida, Akira Taniguchi, Yoshinobu Hagiwara |
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2205.12392, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Xiao Qi |
Sampling Online Social Networks: Metropolis Hastings Random Walk and Random Walk. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2205.05885, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Daniel Rudolf, Björn Sprungk |
Robust random walk-like Metropolis-Hastings algorithms for concentrating posteriors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2202.12127, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
38 | Hiroaki Inoue, Koji Hukushima, Toshiaki Omori |
Estimating Distributions of Parameters in Nonlinear State Space Models with Replica Exchange Particle Marginal Metropolis-Hastings Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Entropy ![In: Entropy 24(1), pp. 115, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Clément Dubosq, Andréa Guerrero |
A 3D Matching Method to Compare a Scan to Its Reference using 3D Registration and Monte Carlo Metropolis Hastings Optimization for Industrial Inspection Applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPRAM ![In: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2022, Online Streaming, February 3-5, 2022., pp. 518-525, 2022, SCITEPRESS, 978-989-758-549-4. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
38 | Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick |
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICLR ![In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022, OpenReview.net. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
38 | James A. Brofos, Marylou Gabrié, Marcus A. Brubaker, Roy R. Lederman |
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event., pp. 5949-5986, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
38 | Bumeng Zhuo, Chao Gao |
Mixing Time of Metropolis-Hastings for Bayesian Community Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Mach. Learn. Res. ![In: J. Mach. Learn. Res. 22, pp. 10:1-10:89, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
38 | Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick |
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis-Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2106.02736, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
38 | Juan Pablo Madrigal-Cianci, Fabio Nobile, Raúl Tempone |
Analysis of a class of Multi-Level Markov Chain Monte Carlo algorithms based on Independent Metropolis-Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2105.02035, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
38 | Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala |
Locally Scaled and Stochastic Volatility Metropolis- Hastings Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Algorithms ![In: Algorithms 14(12), pp. 351, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
38 | Xingyu Yao, Yingxia Shao, Bin Cui 0001, Lei Chen 0002 |
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDE ![In: 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, pp. 516-527, 2021, IEEE, 978-1-7281-9184-3. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
38 | Niranjan M. Gowda, Sundar Krishnamurthy, Andrey Belogolovy |
Metropolis-Hastings Random Walk along the Gradient Descent Direction for MIMO Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICC ![In: ICC 2021 - IEEE International Conference on Communications, Montreal, QC, Canada, June 14-23, 2021, pp. 1-7, 2021, IEEE, 978-1-7281-7122-7. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
38 | Doha Hamza, Sarah Toonsi, Jeff S. Shamma |
A Metropolis-Hastings Algorithm for Task Allocation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: 2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, pp. 4539-4545, 2021, IEEE, 978-1-6654-3659-5. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
38 | Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha 0001, Hyunwoo J. Kim |
Metropolis-Hastings Data Augmentation for Graph Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual., pp. 19010-19020, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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38 | Guanyang Wang, John O'Leary, Pierre Jacob |
Maximal Couplings of the Metropolis-Hastings Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event., pp. 1225-1233, 2021, PMLR. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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38 | Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer 0001 |
Accelerating Metropolis-Hastings with Lightweight Inference Compilation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event., pp. 181-189, 2021, PMLR. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
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38 | James Paul LeSage |
Fast MCMC estimation of multiple W-matrix spatial regression models and Metropolis-Hastings Monte Carlo log-marginal likelihoods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Geogr. Syst. ![In: J. Geogr. Syst. 22(1), pp. 47-75, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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38 | Yucai Zhou, Munyabugingo Charles, Tong Wang 0005, Min Song |
Improved localisation algorithm based on Markov chain Monte Carlo-Metropolis Hastings for wireless sensor networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Sens. Networks ![In: Int. J. Sens. Networks 33(3), pp. 159-167, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
38 | David A. Spade |
Geometric ergodicity of a Metropolis-Hastings algorithm for Bayesian inference of phylogenetic branch lengths. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. ![In: Comput. Stat. 35(4), pp. 2043-2076, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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38 | Shashank Kumbhare, Amir Shahmoradi |
MatDRAM: A pure-MATLAB Delayed-Rejection Adaptive Metropolis-Hastings Markov Chain Monte Carlo Sampler. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.04190, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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38 | Nathan E. Glatt-Holtz, Justin A. Krometis, Cecilia F. Mondaini |
On the accept-reject mechanism for Metropolis-Hastings algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2011.04493, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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38 | Xingyu Yao, Yingxia Shao, Bin Cui 0001, Lei Chen 0002 |
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.04895, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
38 | Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer 0001 |
Accelerating Metropolis-Hastings with Lightweight Inference Compilation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.12128, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
38 | Ruqi Zhang, A. Feder Cooper, Christopher De Sa |
Asymptotically Optimal Exact Minibatch Metropolis-Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.11677, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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38 | Jessica Lemieux, Bettina Heim, David Poulin, Krysta M. Svore, Matthias Troyer |
Efficient Quantum Walk Circuits for Metropolis-Hastings Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Quantum ![In: Quantum 4, pp. 287, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
38 | Yosra Marnissi, Émilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet |
Majorize-Minimize Adapted Metropolis-Hastings Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 68, pp. 2356-2369, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
38 | Ruqi Zhang, A. Feder Cooper, Christopher De Sa |
Asymptotically Optimal Exact Minibatch Metropolis-Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual., 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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38 | Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu 0001 |
Log-concave sampling: Metropolis-Hastings algorithms are fast. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Mach. Learn. Res. ![In: J. Mach. Learn. Res. 20, pp. 183:1-183:42, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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38 | Fernando Llorente 0001, Luca Martino, David Delgado 0001 |
Parallel Metropolis-Hastings Coupler. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Signal Process. Lett. ![In: IEEE Signal Process. Lett. 26(6), pp. 953-957, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Xin Luo, Håkon Tjelmeland |
A multiple-try Metropolis-Hastings algorithm with tailored proposals. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. ![In: Comput. Stat. 34(3), pp. 1109-1133, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Bamdad Hosseini |
Two Metropolis-Hastings Algorithms for Posterior Measures with Non-Gaussian Priors in Infinite Dimensions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIAM/ASA J. Uncertain. Quantification ![In: SIAM/ASA J. Uncertain. Quantification 7(4), pp. 1185-1223, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Kirill Neklyudov, Evgenii Egorov, Dmitry P. Vetrov |
The Implicit Metropolis-Hastings Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1906.03644, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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38 | Tung-Yu Wu, Y. X. Rachel Wang, Wing H. Wong |
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1908.02910, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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38 | Asif J. Chowdhury, Gabriel Terejanu |
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1910.09347, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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38 | Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet |
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1901.09881, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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38 | Zheng Wang 0013, Cong Ling 0001 |
On the Geometric Ergodicity of Metropolis-Hastings Algorithms for Lattice Gaussian Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IACR Cryptol. ePrint Arch. ![In: IACR Cryptol. ePrint Arch. 2019, pp. 666, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
38 | Martin Kenyeres, Jozef Kenyeres |
Applicability of Generalized Metropolis-Hastings Algorithm in Wireless Sensor Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EUROCON ![In: IEEE EUROCON 2019 - 18th International Conference on Smart Technologies, Novi Sad, Serbia, July 1-4, 2019, pp. 1-5, 2019, IEEE, 978-1-5386-9301-8. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Ning Miao, Hao Zhou 0012, Lili Mou, Rui Yan, Lei Li 0005 |
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019., pp. 6834-6842, 2019, AAAI Press, 978-1-57735-809-1. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Kirill Neklyudov, Evgenii Egorov, Dmitry P. Vetrov |
The Implicit Metropolis-Hastings Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada., pp. 13932-13942, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
38 | Toshiki Matsumura, Kazuyuki Shudo |
Metropolis-Hastings Random Walk with a Reduced Number of Self-Loops. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISPA/BDCloud/SocialCom/SustainCom ![In: 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking, ISPA/BDCloud/SocialCom/SustainCom 2019, Xiamen, China, December 16-18, 2019, pp. 1556-1563, 2019, IEEE, 978-1-7281-4328-6. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Paravee Maneejuk, Woraphon Yamaka, Duentemduang Nachaingmai |
Bayesian Analysis of the Logistic Kink Regression Model Using Metropolis-Hastings Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECONVN ![In: Beyond Traditional Probabilistic Methods in Economics, ECONVN 2019, International Econometric Conference of Vietnam, Ho Chi Minh City, Vietnam, 14-16 January, 2019, pp. 1073-1083, 2019, Springer, 978-3-030-04199-1. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Peter Bidyuk, Volodymyr Beglytsia, Aleksandr Gozhyj, Irina Kalinina |
Using the Metropolis-Hastings algorithm in Bayesian data analysis procedures. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CSIT (2) ![In: 14th IEEE International Conference on Computer Sciences and Information Technologies, CSIT 2019, Lviv, Ukraine, September 17-20, 2019, Volume 2, pp. 98-101, 2019, IEEE, 978-1-7281-0806-3. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Miguel Arcos-Argudo, Rodolfo Bojorque-Chasi, Andrea Plaza-Cordero |
Random Samplings Using Metropolis Hastings Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AHFE (14) ![In: Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2019 International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, Washington, DC, USA, July 24-28, 2019, pp. 114-122, 2019, Springer, 978-3-030-20453-2. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | Ryan D. Turner, Jane Hung, Eric Frank, Yunus Saatchi, Jason Yosinski |
Metropolis-Hastings Generative Adversarial Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, pp. 6345-6353, 2019, PMLR. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
38 | Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté, George Deligiannidis, Arnaud Doucet |
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, pp. 1351-1360, 2019, PMLR. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
38 | Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob |
Unbiased Smoothing using Particle Independent Metropolis-Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan, pp. 2378-2387, 2019, PMLR. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
38 | Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet |
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EDBT ![In: Advances in Database Technology - 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 26-29, 2019, pp. 686-689, 2019, OpenProceedings.org, 978-3-89318-081-3. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
38 | |
Metropolis Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Encyclopedia of Social Network Analysis and Mining. 2nd Ed. ![In: Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018, Springer. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Felipe J. Medina-Aguayo, Anthony Lee, Gareth O. Roberts |
Erratum to: Stability of noisy Metropolis-Hastings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 28(1), pp. 239, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Richard D. Payne, Bani K. Mallick |
Two-Stage Metropolis-Hastings for Tall Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Classif. ![In: J. Classif. 35(1), pp. 29-51, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Stanislaw Adaszewski, David Slater, Lester Melie-García, Bogdan Draganski, Piotr Bogorodzki |
Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeuroImage ![In: NeuroImage 172, pp. 175-193, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Zheng Wang 0013, Cong Ling 0001 |
On the Geometric Ergodicity of Metropolis-Hastings Algorithms for Lattice Gaussian Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Inf. Theory ![In: IEEE Trans. Inf. Theory 64(2), pp. 738-751, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
38 | Ning Miao, Hao Zhou 0012, Lili Mou, Rui Yan, Lei Li 0005 |
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1811.10996, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
|
38 | Ryan D. Turner, Jane Hung, Yunus Saatci, Jason Yosinski |
Metropolis-Hastings Generative Adversarial Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1811.11357, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
|
38 | Kirill Neklyudov, Pavel Shvechikov, Dmitry P. Vetrov |
Metropolis-Hastings view on variational inference and adversarial training. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1810.07151, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
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