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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 377 occurrences of 211 keywords
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Results
Found 1281 publication records. Showing 1281 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
23 | Ajay Jasra, David A. Stephens, Christopher C. Holmes |
On population-based simulation for static inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 17(3), pp. 263-279, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Bayesian mixture models, Markov chain Monte Carlo, Adaptive methods, Sequential Monte Carlo |
23 | Joni-Kristian Kamarainen, Miroslav Hamouz, Josef Kittler, Pekka Paalanen, Jarmo Ilonen, Alexander Drobchenko |
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV ![In: IEEE 11th International Conference on Computer Vision, ICCV 2007, Rio de Janeiro, Brazil, October 14-20, 2007, pp. 1-8, 2007, IEEE Computer Society, 978-1-4244-1630-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, Kishor S. Trivedi |
Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DSN ![In: The 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2007, 25-28 June 2007, Edinburgh, UK, Proceedings, pp. 698-707, 2007, IEEE Computer Society, 0-7695-2855-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
interval estimation, Software reliability, non-homogeneous Poisson process, variational Bayes |
23 | Fei Ye, Yan Guo, Andrew Lawson, Jijun Tang |
Improving Tree Search in Phylogenetic Reconstruction from Genome Rearrangement Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WEA ![In: Experimental Algorithms, 6th International Workshop, WEA 2007, Rome, Italy, June 6-8, 2007, Proceedings, pp. 352-364, 2007, Springer, 978-3-540-72844-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Nadia Bali, Ali Mohammad-Djafari |
A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICA ![In: Independent Component Analysis and Signal Separation, 7th International Conference, ICA 2007, London, UK, September 9-12, 2007., pp. 137-144, 2007, Springer, 978-3-540-74493-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Kenji Nagata, Sumio Watanabe |
Algebraic Geometric Study of Exchange Monte Carlo Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (1) ![In: Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I, pp. 687-696, 2007, Springer, 978-3-540-74689-8. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Kenji Nagata, Sumio Watanabe |
Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICONIP (2) ![In: Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II, pp. 67-76, 2007, Springer, 978-3-540-69159-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Mark William Woolrich, T. E. J. Behrens |
Variational bayes inference of spatial mixture models for segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Medical Imaging ![In: IEEE Trans. Medical Imaging 25(10), pp. 1380-1391, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Yun Zhai, Mubarak Shah |
Video Scene Segmentation Using Markov Chain Monte Carlo. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Multim. ![In: IEEE Trans. Multim. 8(4), pp. 686-697, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Mun Wai Lee, Isaac Cohen |
A Model-Based Approach for Estimating Human 3D Poses in Static Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 28(6), pp. 905-916, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Three-dimensional human pose estimation from static images, body parts detector, data driven Markov chain Monte Carlo, generative models |
23 | Vitaly Schetinin, Valentina V. Zharkova, Sergei I. Zharkov |
Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KES (3) ![In: Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part III, pp. 523-532, 2006, Springer, 3-540-46542-1. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Bayesian averaging, solar flare, Machine learning, decision tree, uncertainty, Markov Chain Monte Carlo |
23 | Tshilidzi Marwala |
Bayesian Training of Neural Networks Using Genetic Programming. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006, pp. 3622-3626, 2006, IEEE, 0-7803-9490-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Lizheng Jiang, Dongqing Yang, Shiwei Tang, Xiuli Ma, Dehui Zhang |
Mining Maximal Correlated Member Clusters in High Dimensional Database. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings, pp. 149-159, 2006, Springer, 3-540-33206-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Jing Tian 0002, Kai-Kuang Ma |
Markov Chain Monte Carlo Super-Resolution Image Reconstruction with Simultaneous Adaptation of the Prior Image Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PCM ![In: Advances in Multimedia Information Processing - PCM 2006, 7th Pacific Rim Conference on Multimedia, Hangzhou, China, November 2-4, 2006, Proceedings, pp. 287-294, 2006, Springer, 3-540-48766-2. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Dilan Görür, Frank Jäkel, Carl Edward Rasmussen |
A choice model with infinitely many latent features. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006, pp. 361-368, 2006, ACM, 1-59593-383-2. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
23 | Yun Zhai, Mubarak Shah |
A General Framework for Temporal Video Scene Segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV ![In: 10th IEEE International Conference on Computer Vision (ICCV 2005), 17-20 October 2005, Beijing, China, pp. 1111-1116, 2005, IEEE Computer Society, 0-7695-2334-X. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
23 | Zia Khan, Tucker R. Balch, Frank Dellaert |
Multitarget Tracking with Split and Merged Measurements. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR (1) ![In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 20-26 June 2005, San Diego, CA, USA, pp. 605-610, 2005, IEEE Computer Society, 0-7695-2372-2. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
23 | 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 |
23 | Matt Whiley, Simon P. Wilson 0001 |
Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 14(3), pp. 171-179, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
parallel algorithms, Bayesian inference, Markov chain Monte Carlo, linear algebra, spatial modelling, latent models |
23 | Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla |
Modelling and Interpretation of Architecture from Several Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Vis. ![In: Int. J. Comput. Vis. 60(2), pp. 111-134, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
object recognition, architectural modelling, structure and motion |
23 | Takuya Murakita, Tetsushi Ikeda, Hiroshi Ishiguro |
Human Tracking using Floor Sensors based on the Markov Chain Monte Carlo Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR (4) ![In: 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, UK, August 23-26, 2004., pp. 917-920, 2004, IEEE Computer Society, 0-7695-2128-2. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
23 | Greg Ridgeway, David Madigan |
A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Data Min. Knowl. Discov. ![In: Data Min. Knowl. Discov. 7(3), pp. 301-319, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
massive datasets, particle filter, mixture model, Bayesian inference, Markov chain Monte Carlo, importance sampling |
23 | Anthony N. Pettitt, I. S. Weir, A. G. Hart |
A Conditional Autoregressive Gaussian Process for Irregularly Spaced Multivariate Data with Application to Modelling Large Sets of Binary Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(4), pp. 353-367, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
conditional autoregression, Markov chain Monte Carlo, spatio-temporal, Bayesian analysis, multivariate data, spatial statistics, binary data |
23 | Arnaud Doucet, Simon J. Godsill, Christian P. Robert |
Marginal maximum a posteriori estimation using Markov chain Monte Carlo. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(1), pp. 77-84, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
simulated annealing, missing data, deconvolution, data augmentation, Bayesian computation |
23 | Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen |
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR (3) ![In: 16th International Conference on Pattern Recognition, ICPR 2002, Quebec, Canada, August 11-15, 2002., pp. 49-52, 2002, IEEE Computer Society, 0-7695-1695-5. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
23 | Greg Ridgeway, David Madigan |
Bayesian analysis of massive datasets via particle filters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada, pp. 5-13, 2002, ACM, 1-58113-567-X. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
23 | Honghua Dai 0001, Gang Li 0009, Yiqing Tu |
An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML 2002, 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002, Proceedings, pp. 48-59, 2002, Springer, 3-540-44036-4. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
23 | Georgios A. Stefanou, Simon P. Wilson 0001 |
Image segmentation using the double Markov random field, with application to land use estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (1) ![In: Proceedings of the 2001 International Conference on Image Processing, ICIP 2001, Thessaloniki, Greece, October 7-10, 2001, pp. 742-745, 2001, IEEE, 0-7803-6725-1. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
23 | Donald L. Simon, Bret Larget |
Phylogenetic Inference from Mitochondrial Genome Arrangement Data. ![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. 1022-1030, 2001, Springer, 3-540-42233-1. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
23 | Song Chun Zhu, Rong Zhang, Zhuowen Tu |
Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR ![In: 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 13-15 June 2000, Hilton Head, SC, USA, pp. 1738-1745, 2000, IEEE Computer Society, 0-7695-0662-3. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
19 | Wei Yeang Kow, Wei Leong Khong, Farrah Wong, Ismail Saad, Kenneth Tze Kin Teo |
Adaptive Tracking of Overlapping Vehicles Via Markov Chain Monte Carlo with CUSUM Path Plot Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CICSyN ![In: Third International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011, Bali, Indonesia, 26-28 July, 2011, pp. 253-258, 2011, IEEE Computer Society, 978-1-4577-0975-3. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
Markov Chain Monte Carlo (MCMC), Cumulative Sum (CUSUM) Path Plot |
19 | Michael D. Linderman, Robert V. Bruggner, Vivek Athalye, Teresa H. Meng, Narges Bani Asadi, Garry P. Nolan |
High-throughput Bayesian network learning using heterogeneous multicore computers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICS ![In: Proceedings of the 24th International Conference on Supercomputing, 2010, Tsukuba, Ibaraki, Japan, June 2-4, 2010, pp. 95-104, 2010, ACM, 978-1-4503-0018-6. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
Bayesian networks, GPU, MCMC |
19 | Sergej Sizov |
GeoFolk: latent spatial semantics in web 2.0 social media. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WSDM ![In: Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010, pp. 281-290, 2010, ACM, 978-1-60558-889-6. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
geodata, tagging, mcmc, web2.0, bayesian learning |
19 | Cinzia Viroli |
Bayesian inference in non-Gaussian factor analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 19(4), pp. 451-463, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Independent factor analysis, Model selection criteria, Factor analysis, Reversible jump MCMC |
19 | Vincent Mazet, Christophe Collet 0001, Bernd Vollmer |
Decomposition and Classification of Spectral Lines in Astronomical Radio Data Cubes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SCIA ![In: Image Analysis, 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009. Proceedings, pp. 189-198, 2009, Springer, 978-3-642-02229-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
spectrum decomposition, multicomponent image, spiral galaxy NGC 4254, Bayesian inference, MCMC |
19 | Fabio Martinelli, Alistair Sinclair |
Mixing time for the solid-on-solid model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
STOC ![In: Proceedings of the 41st Annual ACM Symposium on Theory of Computing, STOC 2009, Bethesda, MD, USA, May 31 - June 2, 2009, pp. 571-580, 2009, ACM, 978-1-60558-506-2. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
glauber dynamics, markov chain monte carlo (mcmc), mixing time, ising model, statistical physics |
19 | Mathias Ortner, Xavier Descombes, Josiane Zerubia |
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 30(1), pp. 105-119, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
dense urban area, land register, RJMCMC, Image processing, simulated annealing, MCMC, stochastic geometry, Poisson point process, Digital Elevation Models, building detection |
19 | Daniel David Walker, Eric K. Ringger |
Model-based document clustering with a collapsed gibbs sampler. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pp. 704-712, 2008, ACM, 978-1-60558-193-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
collapsed samplers, practical guidelines, document clustering, mcmc, em, gibbs sampling |
19 | David C. Wheeler, Catherine A. Calder |
An assessment of coefficient accuracy in linear regression models with spatially varying coefficients. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Geogr. Syst. ![In: J. Geogr. Syst. 9(2), pp. 145-166, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Bayesian regression, Geographically weighted regression, Collinearity, MCMC, Simulation study, Spatial statistics |
19 | Sourabh Bhattacharya, Alan E. Gelfand, Kent E. Holsinger |
Model fitting and inference under latent equilibrium processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 17(2), pp. 193-208, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Allele, Migration, Mutation, MCMC, Bayesian hierarchical model |
19 | Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J. Gibson |
Bayesian Analysis of Lidar Signals with Multiple Returns. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 29(12), pp. 2170-2180, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
burst illumination laser, delayed rejection, photon counting, 3D reconstruction, Lidar, reversible jump MCMC |
19 | Thomas P. Hayes, Juan Carlos Vera 0001, Eric Vigoda |
Randomly coloring planar graphs with fewer colors than the maximum degree. ![Search on Bibsonomy](Pics/bibsonomy.png) |
STOC ![In: Proceedings of the 39th Annual ACM Symposium on Theory of Computing, San Diego, California, USA, June 11-13, 2007, pp. 450-458, 2007, ACM, 978-1-59593-631-8. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Markov chain Monte Carlo (MCMC), graph coloring, planar graphs, coupling |
19 | Ru-Xin Gao, Tianfu Wu 0001, Song Chun Zhu, Nong Sang |
Bayesian Inference for Layer Representation with Mixed Markov Random Field. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMMCVPR ![In: Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings, pp. 213-224, 2007, Springer, 978-3-540-74195-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
2.1D Sketch, Contour Completion, Mixed Markov Field, Swendsen-Wang Cut, Bayesian Inference, MCMC, Layer Representation |
19 | 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 |
19 | Samer A. Abdallah, Mark B. Sandler, Christophe Rhodes, Michael A. Casey |
Using duration models to reduce fragmentation in audio segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 65(2-3), pp. 485-515, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Duration prior, Wolff algorithm, Segmentation, MCMC, Gibbs sampling |
19 | Marko Salmenkivi, Heikki Mannila |
Using Markov chain Monte Carlo and dynamic programming for event sequence data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Inf. Syst. ![In: Knowl. Inf. Syst. 7(3), pp. 267-288, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Data mining, Dynamic programming, MCMC, Event sequence |
19 | Ben Morris |
The mixing time of the Thorp shuffle. ![Search on Bibsonomy](Pics/bibsonomy.png) |
STOC ![In: Proceedings of the 37th Annual ACM Symposium on Theory of Computing, Baltimore, MD, USA, May 22-24, 2005, pp. 403-412, 2005, ACM, 1-58113-960-8. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Markov chain, MCMC, mixing time, martingale |
19 | Tsung-I Lin, Jack C. Lee, Huey F. Ni |
Bayesian analysis of mixture modelling using the multivariate t distribution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 14(2), pp. 119-130, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
t mixture model, maximum likelihood estimation, MCMC, maximum a posteriori, ECM, ECME |
19 | Paul Fearnhead |
Particle filters for mixture models with an unknown number of components. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 14(1), pp. 11-21, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
particle filters, Gaussian mixture models, MCMC, Gibbs sampling, Dirichlet process |
19 | Radu Stoica, Xavier Descombes, Josiane Zerubia |
A Gibbs Point Process for Road Extraction from Remotely Sensed Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Vis. ![In: Int. J. Comput. Vis. 57(2), pp. 121-136, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
Gibbs point processes, Candy model, reversible jump MCMC dynamics, aerial and satellite images, hypothesis tests, road extraction |
19 | Edoardo M. Airoldi, Christos Faloutsos |
Recovering latent time-series from their observed sums: network tomography with particle filters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004, pp. 30-39, 2004, ACM, 1-58113-888-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
informative priors, link loads, origin-destination traffic flows, self-organizing Bayesian dynamical system, particle filter, MCMC, empirical bayes |
19 | Ben Morris, Yuval Peres |
Evolving sets and mixin. ![Search on Bibsonomy](Pics/bibsonomy.png) |
STOC ![In: Proceedings of the 35th Annual ACM Symposium on Theory of Computing, June 9-11, 2003, San Diego, CA, USA, pp. 279-286, 2003, ACM, 1-58113-674-9. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
Markov chain, MCMC, conductance, mixing time, martingale |
14 | Hossein Kavianihamedani, Julianne D. Quinn, Jared D. Smith |
New Diagnostic Assessment of MCMC Algorithm Effectiveness, Efficiency, Reliability, and Controllability. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 12, pp. 42385-42400, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh |
Online MCMC Thinning with Kernelized Stein Discrepancy. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIAM J. Math. Data Sci. ![In: SIAM J. Math. Data Sci. 6(1), pp. 51-75, March 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Ritwik Bhattacharya, Narayanaswamy Balakrishnan 0001 |
A MCMC-type simple probabilistic approach for determining optimal progressive censoring schemes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 53(4), pp. 1758-1767, April 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Nhat Minh Nguyen, Minh-Ngoc Tran, Rohitash Chandra |
Sequential reversible jump MCMC for dynamic Bayesian neural networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neurocomputing ![In: Neurocomputing 564, pp. 126960, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
14 | Alexandre Bouchard-Côté, Trevor Campbell, Geoff Pleiss, Nikola Surjanovic |
MCMC-driven learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2402.09598, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Zeji Yi, Yunyue Wei, Chu Xin Cheng, Kaibo He, Yanan Sui |
Improving sample efficiency of high dimensional Bayesian optimization with MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2401.02650, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Julian Hofstadler |
On the optimality of MCMC integration for functions with unbounded second moment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2403.16920, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Sikun Yang, Heinz Koeppl |
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2403.00044, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Xiang Cheng, Jingzhao Zhang, Suvrit Sra |
Efficient Sampling on Riemannian Manifolds via Langevin MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2402.10357, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Jiho Hong, Sangwoo Kang 0001, Mikyoung Lim |
Monostatic imaging of an extended target with MCMC sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2401.08628, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Robert G. Kimelman |
MCMChaos: Improvising Rap Music with MCMC Methods and Chaos Theory. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2401.07967, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Jacob R. Gardner |
Stochastic Approximation with Biased MCMC for Expectation Maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2402.17870, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah |
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2402.01050, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Yoonseong Kang, Wan Choi 0001 |
MCMC Sampling-Based Randomized Likelihood Decoding for Sparse Recovery. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Commun. ![In: IEEE Trans. Commun. 72(1), pp. 465-479, January 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Rohan Sawhney, Daqi Lin, Markus Kettunen, Benedikt Bitterli, Ravi Ramamoorthi, Chris Wyman, Matt Pharr |
Decorrelating ReSTIR Samplers via MCMC Mutations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Graph. ![In: ACM Trans. Graph. 43(1), pp. 10:1-10:15, February 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin |
Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Epi UAI ![In: Epistemic Uncertainty in Artificial Intelligence - First International Workshop, Epi UAI 2023, Pittsburgh, PA, USA, August 4, 2023, Revised Selected Papers, pp. 13-27, 2024, Springer, 978-3-031-57962-2. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah |
Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD (1) ![In: Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I, pp. 271-283, 2024, Springer, 978-981-97-2241-9. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
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14 | Samuel Gruffaz, Kyurae Kim, Alain Durmus, Jacob Gardner |
Stochastic Approximation with Biased MCMC for Expectation Maximization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2332-2340, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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14 | Liwei Wang, Xinru Liu, Aaron Smith, Aguemon Y. Atchadé |
On cyclical MCMC sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3817-3825, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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14 | Tianze Wang, Guanyang Wang |
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Mach. Learn. Res. ![In: J. Mach. Learn. Res. 24, pp. 249:1-249:40, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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14 | Jeremie Coullon, Leah F. South, Christopher Nemeth |
Efficient and generalizable tuning strategies for stochastic gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 33(3), pp. 66, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Achraf Makhloufi, Abdelaziz Kallel |
Inversion of a New Designed ANN-Based 3-D-RTM Emulator by Continuous MCMC Technique to Monitor Crop Biophysical Properties Using Sentinel-2 Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Geosci. Remote. Sens. ![In: IEEE Trans. Geosci. Remote. Sens. 61, pp. 1-14, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Cheng-en Li, Jian-hua Shi |
MCMC interweaving strategy for estimating stochastic volatility model and its application. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 52(2), pp. 557-568, February 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Eleni Vlachou, Christos N. Karras, Aristeidis Karras, Dimitrios Tsolis, Spyros Sioutas |
EVCA Classifier: A MCMC-Based Classifier for Analyzing High-Dimensional Big Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. ![In: Inf. 14(8), pp. 451, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | The Tien Mai |
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. ![In: Comput. Stat. 38(2), pp. 827-843, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Mikkel Bue Lykkegaard, Tim J. Dodwell, Colin Fox, G. Mingas, Robert Scheichl |
Multilevel Delayed Acceptance MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIAM/ASA J. Uncertain. Quantification ![In: SIAM/ASA J. Uncertain. Quantification 11(1), pp. 1-30, March 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | George Bai, Rohitash Chandra |
Gradient boosting Bayesian neural networks via Langevin MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neurocomputing ![In: Neurocomputing 558, pp. 126726, November 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Daniel Ries, Jason Adams, Joshua Zollweg |
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2308.06293, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Baris Alparslan, Sinan Yildirim, S. Ilker Birbil |
Differentially Private Distributed Bayesian Linear Regression with MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2301.13778, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Xiang Cheng, Bohan Wang, Jingzhao Zhang, Yusong Zhu |
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2306.10506, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Rohitash Chandra, Royce Chen, Joshua Simmons |
Bayesian neural networks via MCMC: a Python-based tutorial. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2304.02595, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Marcel Hirt, Vasileios Kreouzis, Petros Dellaportas |
Learning variational autoencoders via MCMC speed measures. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2308.13731, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Tim Johnston, Iosif Lytras, Sotirios Sabanis |
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity - the Strongly Convex Case. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2301.08039, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Yifu Han, François P. Hamon, Su Jiang, Louis J. Durlofsky |
Surrogate Model for Geological CO2 Storage and Its Use in MCMC-based History Matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2308.06341, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth R. Flaxman, H. Juliette T. Unwin |
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2305.19779, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu |
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2310.03218, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Andreas Bott, Tim Janke, Florian Steinke |
Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2305.15445, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Michael Plainer, Hannes Stärk, Charlotte Bunne, Stephan Günnemann |
Transition Path Sampling with Boltzmann Generator-based MCMC Moves. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2312.05340, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Bolian Li, Ruqi Zhang |
Entropy-MCMC: Sampling from Flat Basins with Ease. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2310.05401, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Juntao Yang |
Hybrid two-level MCMC for Bayesian Inverse Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2307.01463, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Jiali Cui, Tian Han 0001 |
Learning Energy-based Model via Dual-MCMC Teaching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2312.02469, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Adrien Corenflos, Simo Särkkä |
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2303.00301, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
14 | Gang Chen |
Speed up the inference of diffusion models via shortcut MCMC sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2301.01206, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Yingyu Lin, Yian Ma, Yu-Xiang Wang 0003, Rachel Redberg |
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2310.14661, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Masoumeh Javanbakhat, Christoph Lippert |
A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2308.01271, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Anders Sjöberg, Jakob Lindqvist, Magnus Önnheim, Mats Jirstrand, Lennart Svensson |
MCMC-Correction of Score-Based Diffusion Models for Model Composition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2307.14012, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer |
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2304.02902, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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14 | Elizaveta Semenova, Max Cairney-Leeming, Seth R. Flaxman |
PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2304.04307, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
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