Search results for "Metropolis-Hastings"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
199	Jo Eidsvik, Håkon Tjelmeland	On directional Metropolis-Hastings algorithms.	Stat. Comput.	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.	Stat. Comput.	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.	ADMA	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.	BIBE	2007	DBLP DOI BibTeX RDF
101	Matthew A. Bognar, Mary Kathryn Cowles	Bayesian inference for pairwise interacting point processes.	Stat. Comput.	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.	Pattern Anal. Appl.	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.	Complex (2)	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.	PODC	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.	Stat. Comput.	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.	Stat. Comput.	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.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	International Conference on Computational Science (2)	2001	DBLP DOI BibTeX RDF
60	Tetsuya Takaishi	Markov Chain Monte Carlo on Asymmetric GARCH Model Using the Adaptive Construction Scheme.	ICIC (1)	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.	Stat. Comput.	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.	Stat. Comput.	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.	Ann. Math. Artif. Intell.	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.	Stat. Comput.	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.	Stat. Comput.	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.	Stat. Comput.	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.	VALUETOOLS	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.	Stat. Comput.	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.	Stat. Comput.	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.	Stat. Comput.	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.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	independence sampler, Gibbs sampler, reversible jump, Metropolis-Hastings
42	Eric Veach, Leonidas J. Guibas	Metropolis light transport.	SIGGRAPH	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.	J. Appl. Probab.	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.	CoRR	2024	DBLP DOI BibTeX RDF
38	Angelos Alexopoulos, Petros Dellaportas, Michalis K. Titsias	Variance reduction for Metropolis-Hastings samplers.	Stat. Comput.	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.	Adv. Robotics	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.	Frontiers Artif. Intell.	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.	Frontiers Artif. Intell.	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.	SIAM/ASA J. Uncertain. Quantification	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.	CoRR	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.	CoRR	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.	CoRR	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.	CoRR	2023	DBLP DOI BibTeX RDF
38	Sebastian Bieringer, Gregor Kasieczka, Maximilian F. Steffen, Mathias Trabs	Statistical guarantees for stochastic Metropolis-Hastings.	CoRR	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.	CoRR	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.	Appl. Intell.	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.	CoNLL	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.	ICML	2023	DBLP BibTeX RDF
38	Andrew Golightly, Chris Sherlock	Augmented pseudo-marginal Metropolis-Hastings for partially observed diffusion processes.	Stat. Comput.	2022	DBLP DOI BibTeX RDF
38	Kaijie Huang, Jie Cao 0014	Multi-prediction metropolis hastings resampling filtering algorithm based on CUDA.	Microprocess. Microsystems	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.	CoRR	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.	CoRR	2022	DBLP DOI BibTeX RDF
38	Xiao Qi	Sampling Online Social Networks: Metropolis Hastings Random Walk and Random Walk.	CoRR	2022	DBLP DOI BibTeX RDF
38	Daniel Rudolf, Björn Sprungk	Robust random walk-like Metropolis-Hastings algorithms for concentrating posteriors.	CoRR	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.	Entropy	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.	ICPRAM	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.	ICLR	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.	AISTATS	2022	DBLP BibTeX RDF
38	Bumeng Zhuo, Chao Gao	Mixing Time of Metropolis-Hastings for Bayesian Community Detection.	J. Mach. Learn. Res.	2021	DBLP BibTeX RDF
38	Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick	Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis-Hastings.	CoRR	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.	CoRR	2021	DBLP BibTeX RDF
38	Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala	Locally Scaled and Stochastic Volatility Metropolis- Hastings Algorithms.	Algorithms	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.	ICDE	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.	ICC	2021	DBLP DOI BibTeX RDF
38	Doha Hamza, Sarah Toonsi, Jeff S. Shamma	A Metropolis-Hastings Algorithm for Task Allocation.	CDC	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.	NeurIPS	2021	DBLP BibTeX RDF
38	Guanyang Wang, John O'Leary, Pierre Jacob	Maximal Couplings of the Metropolis-Hastings Algorithm.	AISTATS	2021	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.	AISTATS	2021	DBLP BibTeX RDF
38	James Paul LeSage	Fast MCMC estimation of multiple W-matrix spatial regression models and Metropolis-Hastings Monte Carlo log-marginal likelihoods.	J. Geogr. Syst.	2020	DBLP DOI BibTeX RDF
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.	Int. J. Sens. Networks	2020	DBLP DOI BibTeX RDF
38	David A. Spade	Geometric ergodicity of a Metropolis-Hastings algorithm for Bayesian inference of phylogenetic branch lengths.	Comput. Stat.	2020	DBLP DOI BibTeX RDF
38	Shashank Kumbhare, Amir Shahmoradi	MatDRAM: A pure-MATLAB Delayed-Rejection Adaptive Metropolis-Hastings Markov Chain Monte Carlo Sampler.	CoRR	2020	DBLP BibTeX RDF
38	Nathan E. Glatt-Holtz, Justin A. Krometis, Cecilia F. Mondaini	On the accept-reject mechanism for Metropolis-Hastings algorithms.	CoRR	2020	DBLP BibTeX RDF
38	Xingyu Yao, Yingxia Shao, Bin Cui 0001, Lei Chen 0002	UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling.	CoRR	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.	CoRR	2020	DBLP BibTeX RDF
38	Ruqi Zhang, A. Feder Cooper, Christopher De Sa	Asymptotically Optimal Exact Minibatch Metropolis-Hastings.	CoRR	2020	DBLP BibTeX RDF
38	Jessica Lemieux, Bettina Heim, David Poulin, Krysta M. Svore, Matthias Troyer	Efficient Quantum Walk Circuits for Metropolis-Hastings Algorithm.	Quantum	2020	DBLP DOI BibTeX RDF
38	Yosra Marnissi, Émilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet	Majorize-Minimize Adapted Metropolis-Hastings Algorithm.	IEEE Trans. Signal Process.	2020	DBLP DOI BibTeX RDF
38	Ruqi Zhang, A. Feder Cooper, Christopher De Sa	Asymptotically Optimal Exact Minibatch Metropolis-Hastings.	NeurIPS	2020	DBLP BibTeX RDF
38	Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu 0001	Log-concave sampling: Metropolis-Hastings algorithms are fast.	J. Mach. Learn. Res.	2019	DBLP BibTeX RDF
38	Fernando Llorente 0001, Luca Martino, David Delgado 0001	Parallel Metropolis-Hastings Coupler.	IEEE Signal Process. Lett.	2019	DBLP DOI BibTeX RDF
38	Xin Luo, Håkon Tjelmeland	A multiple-try Metropolis-Hastings algorithm with tailored proposals.	Comput. Stat.	2019	DBLP DOI BibTeX RDF
38	Bamdad Hosseini	Two Metropolis-Hastings Algorithms for Posterior Measures with Non-Gaussian Priors in Infinite Dimensions.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
38	Kirill Neklyudov, Evgenii Egorov, Dmitry P. Vetrov	The Implicit Metropolis-Hastings Algorithm.	CoRR	2019	DBLP BibTeX RDF
38	Tung-Yu Wu, Y. X. Rachel Wang, Wing H. Wong	Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal.	CoRR	2019	DBLP BibTeX RDF
38	Asif J. Chowdhury, Gabriel Terejanu	Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes.	CoRR	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.	CoRR	2019	DBLP BibTeX RDF
38	Zheng Wang 0013, Cong Ling 0001	On the Geometric Ergodicity of Metropolis-Hastings Algorithms for Lattice Gaussian Sampling.	IACR Cryptol. ePrint Arch.	2019	DBLP BibTeX RDF
38	Martin Kenyeres, Jozef Kenyeres	Applicability of Generalized Metropolis-Hastings Algorithm in Wireless Sensor Networks.	EUROCON	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.	AAAI	2019	DBLP DOI BibTeX RDF
38	Kirill Neklyudov, Evgenii Egorov, Dmitry P. Vetrov	The Implicit Metropolis-Hastings Algorithm.	NeurIPS	2019	DBLP BibTeX RDF
38	Toshiki Matsumura, Kazuyuki Shudo	Metropolis-Hastings Random Walk with a Reduced Number of Self-Loops.	ISPA/BDCloud/SocialCom/SustainCom	2019	DBLP DOI BibTeX RDF
38	Paravee Maneejuk, Woraphon Yamaka, Duentemduang Nachaingmai	Bayesian Analysis of the Logistic Kink Regression Model Using Metropolis-Hastings Sampling.	ECONVN	2019	DBLP DOI BibTeX RDF
38	Peter Bidyuk, Volodymyr Beglytsia, Aleksandr Gozhyj, Irina Kalinina	Using the Metropolis-Hastings algorithm in Bayesian data analysis procedures.	CSIT (2)	2019	DBLP DOI BibTeX RDF
38	Miguel Arcos-Argudo, Rodolfo Bojorque-Chasi, Andrea Plaza-Cordero	Random Samplings Using Metropolis Hastings Algorithm.	AHFE (14)	2019	DBLP DOI BibTeX RDF
38	Ryan D. Turner, Jane Hung, Eric Frank, Yunus Saatchi, Jason Yosinski	Metropolis-Hastings Generative Adversarial Networks.	ICML	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.	ICML	2019	DBLP BibTeX RDF
38	Lawrece Middleton, George Deligiannidis, Arnaud Doucet, Pierre E. Jacob	Unbiased Smoothing using Particle Independent Metropolis-Hastings.	AISTATS	2019	DBLP BibTeX RDF
38	Mostafa Haghir Chehreghani, Talel Abdessalem, Albert Bifet	Metropolis-Hastings Algorithms for Estimating Betweenness Centrality.	EDBT	2019	DBLP DOI BibTeX RDF
38		Metropolis Hastings.	Encyclopedia of Social Network Analysis and Mining. 2nd Ed.	2018	DBLP DOI BibTeX RDF
38	Felipe J. Medina-Aguayo, Anthony Lee, Gareth O. Roberts	Erratum to: Stability of noisy Metropolis-Hastings.	Stat. Comput.	2018	DBLP DOI BibTeX RDF
38	Richard D. Payne, Bani K. Mallick	Two-Stage Metropolis-Hastings for Tall Data.	J. Classif.	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.	NeuroImage	2018	DBLP DOI BibTeX RDF
38	Zheng Wang 0013, Cong Ling 0001	On the Geometric Ergodicity of Metropolis-Hastings Algorithms for Lattice Gaussian Sampling.	IEEE Trans. Inf. Theory	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.	CoRR	2018	DBLP BibTeX RDF
38	Ryan D. Turner, Jane Hung, Yunus Saatci, Jason Yosinski	Metropolis-Hastings Generative Adversarial Networks.	CoRR	2018	DBLP BibTeX RDF
38	Kirill Neklyudov, Pavel Shvechikov, Dmitry P. Vetrov	Metropolis-Hastings view on variational inference and adversarial training.	CoRR	2018	DBLP BibTeX RDF