Search results for "Metropolis"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
101	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
88	Swagato Sanyal, Raja S 0001, Somenath Biswas	Necessary and sufficient conditions for success of the metropolis algorithm for optimization.	GECCO	2010	DBLP DOI BibTeX RDF	rapid mixing of markov chains, success of markov chain families, optimization, metropolis algorithm
88	Radu V. Craiu, Christiane Lemieux	Acceleration of the Multiple-Try Metropolis algorithm using antithetic and stratified sampling.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Antithetic variates, Extreme antithesis, Korobov rule, Latin Hypercube sampling, Sobol’ sequence, Multiple-Try Metropolis, Random-Ray Monte Carlo, Markov Chain Monte Carlo, Quasi Monte Carlo
88	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
69	Gregor Gößler, Alberto L. Sangiovanni-Vincentelli	Compositional Modeling in Metropolis.	EMSOFT	2002	DBLP DOI BibTeX RDF
62	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
62	Xi Chen 0024, Harry Hsieh, Felice Balarin	Verification Approach of Metropolis Design Framework for Embedded Systems.	Int. J. Parallel Program.	2006	DBLP DOI BibTeX RDF	metropolis, simulation, formal verification, meta-model, spin, LTL, property, LOC
58	Cajo J. F. ter Braak	A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Block updating, Evolutionary Monte Carlo, Population Markov Chain Monte Carlo, Simulated Tempering, Theophylline Kinetics, Simulated Annealing, Metropolis algorithm
56	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
56	Yue Chen, Yaqin Wang, Yangyong Zhu	Grid-Enabled Metropolis Shared Research Platform.	APWeb Workshops	2006	DBLP DOI BibTeX RDF
56	Ingo Wegener	Simulated Annealing Beats Metropolis in Combinatorial Optimization.	ICALP	2005	DBLP DOI BibTeX RDF
49	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
49	David J. Aldous	A. Metropolis-Type Optimization Algorithm on the Infinite Tree.	Algorithmica	1998	DBLP DOI BibTeX RDF	Randomized optimization algorithm, Random walk in random environment, Tree, Greedy algorithm, Probabilistic analysis, Metropolis algorithm
45	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
45	David Cline, Justin Talbot, Parris K. Egbert	Energy redistribution path tracing.	ACM Trans. Graph.	2005	DBLP DOI BibTeX RDF	correlated integrals, energy redistribution, metropolis light transport, global illumination, path tracing, Monte Carlo integration
45	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
45	Vincent Granville, Mirko Krivánek, Jean-Paul Rasson	Simulated Annealing: A Proof of Convergence.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	binary image filtering, Metropolis procedure, image processing, simulated annealing, simulated annealing, convergence, convergence
43	Lars Kaden, Nicole Weicker, Karsten Weicker	Metropolis and Symmetric Functions: A Swan Song.	EvoCOP	2009	DBLP DOI BibTeX RDF
43	Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown	Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
43	Felice Balarin, Luciano Lavagno, Claudio Passerone, Alberto L. Sangiovanni-Vincentelli, Yosinori Watanabe, Guang Yang 0004	Concurrent execution semantics and sequential simulation algorithms for the metropolis meta-model.	CODES	2002	DBLP DOI BibTeX RDF	Java, C++
38	Nick Metropolis, Edward Clark Nelson	Early Computing at Los Alamos.	IEEE Ann. Hist. Comput.	1982	DBLP DOI BibTeX RDF
38	Nick Metropolis, Jack Worlton	A Trilogy on Errors in the History of Computing.	IEEE Ann. Hist. Comput.	1980	DBLP DOI BibTeX RDF
38	Nicholas C. Metropolis, P. R. Stein	The Enumeration of Graphical Partitions.	Eur. J. Comb.	1980	DBLP DOI BibTeX RDF
38	Robert L. Bivins, Nicholas C. Metropolis	Significance Arithmetic: Application to a Partial Differential.	IEEE Trans. Computers	1977	DBLP DOI BibTeX RDF	sensitivity analysis, Error analysis
38	Robert L. Bivins, Nicholas C. Metropolis	Significance arithmetic: Application to a partial differential equation.	IEEE Symposium on Computer Arithmetic	1975	DBLP DOI BibTeX RDF
38	Nicholas C. Metropolis	Analyzed Binary Computing.	IEEE Trans. Computers	1973	DBLP DOI BibTeX RDF
38	Nicholas C. Metropolis, Gian-Carlo Rota, Stephen M. Tanny	Significance Arithmetic: The Carrying Algorithm.	J. Comb. Theory, Ser. A	1973	DBLP DOI BibTeX RDF
38	Nicholas C. Metropolis, M. L. Stein, P. R. Stein	On Finite Limit Sets for Transformations on the Unit Interval.	J. Comb. Theory, Ser. A	1973	DBLP DOI BibTeX RDF
38	C. J. Everett, Nicholas C. Metropolis	On Completely Normal (0, 1)-Matrices and Symmetrizability.	J. Comb. Theory, Ser. A	1972	DBLP DOI BibTeX RDF
38	Nicholas C. Metropolis	Analyzed binary computing.	IEEE Symposium on Computer Arithmetic	1972	DBLP DOI BibTeX RDF
38	Nicholas C. Metropolis, Robert L. Ashenhurst	Basic Operations in an Unnormalized Arithmetic System.	IEEE Trans. Electron. Comput.	1963	DBLP DOI BibTeX RDF
38	Robert L. Ashenhurst, Nicholas C. Metropolis	Unnormalized Floating Point Arithmetic.	J. ACM	1959	DBLP DOI BibTeX RDF
38	Nicholas C. Metropolis	Symposium on the logical organization of very high speed computers.	IFIP Congress	1959	DBLP BibTeX RDF
38	Nicholas C. Metropolis, Robert L. Ashenhurst	Significant Digit Computer Arithmetic.	IRE Trans. Electron. Comput.	1958	DBLP DOI BibTeX RDF
38	Howard B. Demuth, John B. Jackson, Edmund F. Klein, Nick Metropolis, Walter Orvedahl, James H. Richardson	MANIAC.	ACM National Meeting (Toronto)	1952	DBLP DOI BibTeX RDF
36	Panos M. Pardalos	Metropolis, Nicholas Constantine.	Encyclopedia of Optimization	2009	DBLP DOI BibTeX RDF	Metropolis, Simulated annealing, Monte-Carlo method
36	Shumin Zhai, Michael A. Hunter, Barton A. Smith	The metropolis keyboard - an exploration of quantitative techniques for virtual keyboard design.	UIST	2000	DBLP DOI BibTeX RDF	graphical keyboard, metropolis method, mobile computing, ubiquitous computing, mobile devices, pervasive computing, text entry, text input, pen based computing, virtual keyboard, soft keyboard, on screen keyboard
36	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
34	Michel Manon	Irreversible Markov chains by the factorized Metropolis filter: Algorithms and applications in particle systems and spin models. (Chaînes de Markov irréversibles par le filtre de Metropolis factorisé: Algorithmes et applications dans des systèmes de particules et des modèles de spins).		2016	RDF
32	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
32	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
32	Cajo J. F. ter Braak, Jasper A. Vrugt	Differential Evolution Markov Chain with snooker updater and fewer chains.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Evolutionary Monte Carlo, Adaptive Markov chain Monte Carlo, Theophylline kinetics, Adaptive direction sampling, Parallel computing, Differential evolution, Metropolis algorithm
32	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
32	Christophe Andrieu, Yves F. Atchadé	On the efficiency of adaptive MCMC algorithms.	VALUETOOLS	2006	DBLP DOI BibTeX RDF	adaptive Markov chains, coupling, Markov chain Monte Carlo, stochastic approximation, MCMC, rate of convergence, metropolis algorithm
32	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
32	Xi Chen 0024, Abhijit Davare, Harry Hsieh, Alberto L. Sangiovanni-Vincentelli, Yosinori Watanabe	Simulation based deadlock analysis for system level designs.	DAC	2005	DBLP DOI BibTeX RDF	cyclic dependency, metropolis, simulation, synchronization, deadlock, system level
32	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
32	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
32	Marc C. Robini, Thierry Rastello, Didier Vray, Isabelle E. Magnin	Space-Variant Deconvolution for Synthetic Aperture Imaging Using Simulated Annealing.	ICIP (1)	1997	DBLP DOI BibTeX RDF	reflection density recovery, synthetic aperture imaging, synthetic aperture image formation, space-variant 2D convolution, ill-posed inverse problem, underdetermined problem, concave stabilizers, discontinuities preservation, non-convex functional minimisation, Metropolis-type annealing algorithm, inexpensive acceleration techniques, convergence results, performance, stabilization, simulated annealing, efficiency, image restoration, synthetic aperture radar, simulated data, ill-conditioned problem
32	Bing Ma, Sridhar Lakshmanan, Alfred O. Hero III	Detection of Curved Road Edges in Radar Images Via Deformable Templates.	ICIP (1)	1997	DBLP DOI BibTeX RDF	curved road edge detection, millimeter-wave radar images, random field likelihoods, adaptive MAP estimate, three-region indicator matrix, road geometry, quasi-quadratic matrix, log-normal likelihood, optimal road edges, deterministic recursive scheme, optimal indicator matrix, experimental results, Bayesian method, deformable templates, radar imaging, radar images, Metropolis algorithm, weighting scheme, nonlinear constraints
30	Christian Hübler, Hans-Peter Kriegel, Karsten M. Borgwardt, Zoubin Ghahramani	Metropolis Algorithms for Representative Subgraph Sampling.	ICDM	2008	DBLP DOI BibTeX RDF
30	Hui Zhang, Jinian Bian	A Management System of Metropolis Energy Information.	CSCWD	2007	DBLP DOI BibTeX RDF
30	Frédéric J. P. Richard, Adeline M. M. Samson	Metropolis-Hasting techniques for finite-element-based registration.	CVPR	2007	DBLP DOI BibTeX RDF
30	Hong Guo, Wen-Chi Hou, Feng Yan 0005, Qiang Zhu 0001	A Metropolis Sampling Method for Drawing Representative Samples from Large Databases.	DASFAA	2005	DBLP DOI BibTeX RDF
30	Sakari Seitz, Mikko Alava, Pekka Orponen	Threshold Behaviour of WalkSAT and Focused Metropolis Search on Random 3-Satisfiability.	SAT	2005	DBLP DOI BibTeX RDF
30	Maozu Guo 0001, Yang Liu 0006, Jacek Malec	A new Q-learning algorithm based on the metropolis criterion.	IEEE Trans. Syst. Man Cybern. Part B	2004	DBLP DOI BibTeX RDF
30	Felice Balarin, Yosinori Watanabe, Harry Hsieh, Luciano Lavagno, Claudio Passerone, Alberto L. Sangiovanni-Vincentelli	Metropolis: An Integrated Electronic System Design Environment.	Computer	2003	DBLP DOI BibTeX RDF
30	Felice Balarin, Luciano Lavagno, Claudio Passerone, Yosinori Watanabe	Processes, Interfaces and Platforms. Embedded Software Modeling in Metropolis.	EMSOFT	2002	DBLP DOI BibTeX RDF
30	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
26	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
26	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
26	Qingping Tao, Stephen D. Scott 0001	Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Markov chain Monte Carlo, DNF, Winnow
26	Tetsuya Takaishi	Financial Time Series Analysis of SV Model by Hybrid Monte Carlo.	ICIC (1)	2008	DBLP DOI BibTeX RDF	Hybrid Monte Carlo Algorithm, Stochastic Volatility Model, Financial Data Analysis, Bayesian Inference, Markov Chain Monte Carlo
26	Fangpeng Qiu, Jinlong Zhang, Haibo Yan	An Adaptive Markov Chain Monte Carlo Algorithm for TSP.	CSSE (1)	2008	DBLP DOI BibTeX RDF
26	Mark Fleischer	Transformations for accelerating MCMC simulations with broken ergodicity.	WSC	2007	DBLP DOI BibTeX RDF
26	Isabel Beichl, Francis Sullivan	The Other Monte Carlo Method.	Comput. Sci. Eng.	2006	DBLP DOI BibTeX RDF	algorithm, Markov chains, randomness, Monte Carlo
26	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
26	Felice Balarin, Roberto Passerone, Alessandro Pinto, Alberto L. Sangiovanni-Vincentelli	A formal approach to system level design: metamodels and unified design environments.	MEMOCODE	2005	DBLP DOI BibTeX RDF
26	Dickson K. W. Chiu, Oliver K. F. Lee, Ho-fung Leung, Eric W. K. Au, May C. W. Wong	A Multi-Modal Agent Based Mobile Route Advisory System for Public Transport Network.	HICSS	2005	DBLP DOI BibTeX RDF	route finding, multi-modal public transport network, knowledge basket, tariff cost optimization, multi-agent information system, auction, heuristic searching
26	Marc C. Robini, Thierry Rastello, Isabelle E. Magnin	Simulated annealing, acceleration techniques, and image restoration.	IEEE Trans. Image Process.	1999	DBLP DOI BibTeX RDF
19	Hideo Nakajima, Kyoko Hasegawa, Susumu Nakata, Satoshi Tanaka	Volume Visualization with Grid-Independent Adaptive Monte Carlo Sampling.	IIH-MSP	2009	DBLP DOI BibTeX RDF	volume visualisation, grid- independent sampling, regular/irregular grid, importance sampling, Metropolis algorithm
19	Crispin Rope	ENIAC as a Stored-Program Computer: A New Look at the Old Records.	IEEE Ann. Hist. Comput.	2007	DBLP DOI BibTeX RDF	first stored program, Manchester Baby, Nick Metropolis, von Neumann, Monte Carlo, ENIAC
19	Zhu Ye, Zhi-Qiang Liu	Genetic CONDENSATION for motion tracking.	Soft Comput.	2007	DBLP DOI BibTeX RDF	Factored sampling, Genetic algorithm, Tracking, Metropolis algorithm, CONDENSATION algorithm
19	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
19	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
19	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
19	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
19	Chuhsing Kate Hsiao, Su-Yun Huang, Ching-Wei Chang	Bayesian marginal inference via candidate's formula.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	marginal likelihood, marginal likelihood identity, Markov chain Monte Carlo, kernel density estimation, Gibbs sampler, Metropolis-Hasting algorithm, Bayes factor
19	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
19	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
19	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
19	Boris D. Lubachevsky, Alan Weiss	Synchronous relaxation for parallel Ising spin simulations.	Workshop on Parallel and Distributed Simulation	2001	DBLP DOI BibTeX RDF	computational physics, Metropolis algorithm, optimistic simulation, conservative simulation
19	Krishnamoorthy Sivakumar, John Goutsias	Morphologically Constrained GRFs: Applications to Texture Synthesis and Analysis.	IEEE Trans. Pattern Anal. Mach. Intell.	1999	DBLP DOI BibTeX RDF	morphological constraints, size density, texture synthesis and analysis, mathematical morphology, Monte Carlo simulation, statistical inference, Metropolis algorithm, Gibbs random fields
19	David Ríos Insua, Michael P. Wiper, Fabrizio Ruggeri 0001	Bayesian analysis of M/Er/1 and M/Hk/1 queues.	Queueing Syst. Theory Appl.	1998	DBLP DOI BibTeX RDF	M/Er/1, M/H_k/1, Metropolis sampling, Monte Carlo, Markov chain Monte Carlo, Gibbs sampling, Bayesian analysis, reversible jump
19	Merrilee Hurn, Christopher Jennison	An Extension of Geman and Reynolds' Approach to Constrained Restoration and the Recovery of Discontinuities.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	Statistical image reconstruction, discontinuity recovery, simulated annealing, parameter selection, Gibbs sampler, Metropolis algorithm
19	Sridhar Lakshmanan, David Grimmer	A Deformable Template Approach to Detecting Straight Edges in Radar Images.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	Road boundary detection, millimeter-wave images, global shape models, log-normal densities, Metropolis algorithm
19	Neal Madras, Dana Randall	Factoring Graphs to Bound Mixing Rates.	FOCS	1996	DBLP DOI BibTeX RDF	mixing rate bounding, state space decomposition, Monte Carlo Markov chain algorithm, random three-colorings, 2-dimensional lattice regions, 3-state Potts model, ice model, Metropolis sampling algorithm, factorization theorems, Markov chain, Markov processes, statistical mechanics
19	Mark Jerrum, Gregory B. Sorkin	Simulated Annealing for Graph Bisection	FOCS	1993	DBLP DOI BibTeX RDF	unique smallest bisection, simulated annealing, Metropolis algorithm, graph bisection
17	He Jiang, Mujtaba Asad, Jingjing Liu, Haoxiang Zhang, Deqiang Cheng	Single image detail enhancement via metropolis theorem.	Multim. Tools Appl.	2024	DBLP DOI BibTeX RDF
17	Austin Brown, Galin L. Jones	Exact convergence analysis for metropolis-hastings independence samplers in Wasserstein distances.	J. Appl. Probab.	2024	DBLP DOI BibTeX RDF
17	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
17	Hisanari Otsu, Killian Herveau, Johannes Hanika, Derek Nowrouzezahrai, Carsten Dachsbacher	Regional Adaptive Metropolis Light Transport.	CoRR	2024	DBLP DOI BibTeX RDF
17	Weijie Zheng 0001, Mingfeng Li, Renzhong Deng, Benjamin Doerr	How to Use the Metropolis Algorithm for Multi-Objective Optimization?	AAAI	2024	DBLP DOI BibTeX RDF
17	Miguel Biron-Lattes, Nikola Surjanovic, Saifuddin Syed, Trevor Campbell, Alexandre Bouchard-Côté	autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm.	AISTATS	2024	DBLP BibTeX RDF
17	Johan Oxenstierna, Jacek Malec, Volker Krüger	Efficient Order Batching Optimization Using Seed Heuristics and the Metropolis Algorithm.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
17	Philippe Gagnon, Florian Maire, Giacomo Zanella	Improving multiple-try Metropolis with local balancing.	J. Mach. Learn. Res.	2023	DBLP BibTeX RDF
17	Siyu Zhou, Hui Zheng, Xiao Liu, Quan Gao, Jing Xie	Identifying the Effects of Vegetation on Urban Surface Temperatures Based on Urban-Rural Local Climate Zones in a Subtropical Metropolis.	Remote. Sens.	2023	DBLP DOI BibTeX RDF
17	Imane El Mourabit, Said Jai-Andaloussi, Mounia Miyara, Ouail Ouchetto	Identification of Online Learning Challenges During the COVID-19 Pandemic in Developing Countries: A Case Study of a Metropolis Faculty of Sciences.	Int. J. Emerg. Technol. Learn.	2023	DBLP DOI BibTeX RDF
17	Xiaodong Yang, Jun S. Liu	Convergence rate of multiple-try Metropolis independent sampler.	Stat. Comput.	2023	DBLP DOI BibTeX RDF
17	Angelos Alexopoulos, Petros Dellaportas, Michalis K. Titsias	Variance reduction for Metropolis-Hastings samplers.	Stat. Comput.	2023	DBLP DOI BibTeX RDF