Search results for "mcmc"

Hits ?▲	Authors	Title	Venue	Year	Link
14	Yating Wang, Wei Deng 0002, Guang Lin	Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications.	CoRR	2020	DBLP BibTeX RDF
14	Jin-Yi Cai, Tianyu Liu 0002	FPRAS via MCMC where it mixes torpidly (and very little effort).	CoRR	2020	DBLP BibTeX RDF
14	Amir Shahmoradi, Fatemeh Bagheri, Joshua Alexander Osborne	Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte: : Python library.	CoRR	2020	DBLP BibTeX RDF
14	Saibal De, Hadi Salehi, Alex A. Gorodetsky	Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries.	CoRR	2020	DBLP BibTeX RDF
14	Robert J. Webber, David Aristoff, Gideon Simpson	A splitting method to reduce MCMC variance.	CoRR	2020	DBLP BibTeX RDF
14	Qifan Song, Yan Sun 0011, Mao Ye, Faming Liang	Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection.	CoRR	2020	DBLP BibTeX RDF
14	Jinchan He, Xiaxia Yu, Chudong Cai, Yi Gao 0002	MCMC Guided CNN Training and Segmentation for Pancreas Extraction.	CoRR	2020	DBLP BibTeX RDF
14	Eric T. Chung 0001, Yalchin Efendiev, Wing Tat Leung, Sai-Mang Pun, Zecheng Zhang	Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem.	CoRR	2020	DBLP BibTeX RDF
14	Volodimir Begy, Erich Schikuta	Error-guided likelihood-free MCMC.	CoRR	2020	DBLP BibTeX RDF
14	Wei Deng 0002, Qi Feng 0005, Georgios Karagiannis, Guang Lin, Faming Liang	Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction.	CoRR	2020	DBLP BibTeX RDF
14	Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro 0001	Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation.	CoRR	2020	DBLP BibTeX RDF
14	Span Spanbauer, Cameron E. Freer, Vikash Mansinghka 0001	Deep Involutive Generative Models for Neural MCMC.	CoRR	2020	DBLP BibTeX RDF
14	Cyrus Cousins, Shahrzad Haddadan, Eli Upfal	Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE.	CoRR	2020	DBLP BibTeX RDF
14	Zengyi Li, Yubei Chen, Friedrich T. Sommer	A Neural Network MCMC sampler that maximizes Proposal Entropy.	CoRR	2020	DBLP BibTeX RDF
14	Quan Zhang, Huangjie Zheng, Mingyuan Zhou	MCMC-Interactive Variational Inference.	CoRR	2020	DBLP BibTeX RDF
14	Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson	Distributed, partially collapsed MCMC for Bayesian Nonparametrics.	CoRR	2020	DBLP BibTeX RDF
14	Nimar S. Arora, Nazanin Khosravani Tehrani, Kinjal Divesh Shah, Michael Tingley, Yucen Lily Li, Narjes Torabi, David Noursi, Sepehr Akhavan-Masouleh, Eric Lippert, Erik Meijer 0001	Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods.	CoRR	2020	DBLP BibTeX RDF
14	Kirill Neklyudov, Max Welling	Orbital MCMC.	CoRR	2020	DBLP BibTeX RDF
14	Ruqi Zhang, A. Feder Cooper, Christopher De Sa	AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC.	CoRR	2020	DBLP BibTeX RDF
14	Tony Lelièvre, Gabriel Stoltz, Wei Zhang 0065	Multiple projection MCMC algorithms on submanifolds.	CoRR	2020	DBLP BibTeX RDF
14	Xiangyu Zhang 0011, Ramin Bashizade, Yicheng Wang, Cheng Lyu, Sayan Mukherjee 0001, Alvin R. Lebeck	Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators.	CoRR	2020	DBLP BibTeX RDF
14	Khaoula el Mekkaoui, Diego P. P. Mesquita, Paul Blomstedt, Samuel Kaski	Variance reduction for distributed stochastic gradient MCMC.	CoRR	2020	DBLP BibTeX RDF
14	Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu	Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC.	CoRR	2020	DBLP BibTeX RDF
14	Arun Ganesh, Kunal Talwar	Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC.	CoRR	2020	DBLP BibTeX RDF
14	Yating Wang, Wei Deng 0002, Guang Lin	An adaptive Hessian approximated stochastic gradient MCMC method.	CoRR	2020	DBLP BibTeX RDF
14	Wei Deng 0002, Qi Feng 0005, Liyao Gao, Faming Liang, Guang Lin	Non-convex Learning via Replica Exchange Stochastic Gradient MCMC.	CoRR	2020	DBLP BibTeX RDF
14	Tetyana Kosyakova, Thomas Otter, Sanjog Misra, Christian Neuerburg	Exact MCMC for Choices from Menus - Measuring Substitution and Complementarity Among Menu Items.	Mark. Sci.	2020	DBLP DOI BibTeX RDF
14	Negm Eldin Mohamed Shawky	Accuracy Enhancement of GPS for Tracking Multiple Drones Based on MCMC Particle Filter.	Int. J. Secur. Priv. Pervasive Comput.	2020	DBLP DOI BibTeX RDF
14	Tobias Zirr, Carsten Dachsbacher	Path differential-informed stratified MCMC and adaptive forward path sampling.	ACM Trans. Graph.	2020	DBLP DOI BibTeX RDF
14	Suparman	Hierarchical Bayesian Choice of Laplacian ARMA Models Based on Reversible Jump MCMC Computation.	Int. J. Comput. Intell. Syst.	2020	DBLP DOI BibTeX RDF
14	Hongli Yuan, Wenjuan Sun, Yan Chen	Analysis of Online Learning Time in Flipped classroom Based on MCMC.	ICDEL	2020	DBLP BibTeX RDF
14	Amin Aghighi, Behrouz Farhang-Boroujeny, Armin Tajalli	Mixed-Mode Signal Processing for Implementing MCMC MIMO Detector.	VLSI-SoC (Selected Papers)	2020	DBLP DOI BibTeX RDF
14	Amin Aghighi, Behrouz Farhang-Boroujeny, Armin Tajalli	Energy and Area Efficient Mixed-Mode MCMC MIMO Detector.	VLSI-SOC	2020	DBLP DOI BibTeX RDF
14	Jussi Viinikka, Mikko Koivisto	Layering-MCMC for Structure Learning in Bayesian Networks. (PDF / PS)	UAI	2020	DBLP BibTeX RDF
14	Hongfei Wang, Wenjie Cai, Jianwen Li, Kun He 0001	Exploring Graphical Models with Bayesian Learning and MCMC for Failure Diagnosis.	ASP-DAC	2020	DBLP DOI BibTeX RDF
14	Anand Srinivasan, Naoya Takeishi	An MCMC Method for Uncertainty Set Generation via Operator-Theoretic Metrics.	CDC	2020	DBLP DOI BibTeX RDF
14	Jiun-Ting Huang, Young-Han Kim 0001	MCMC Decoding of LDPC Codes with BP Preprocessing.	GLOBECOM	2020	DBLP DOI BibTeX RDF
14	Max Hird, Samuel Livingstone, Giacomo Zanella	A fresh Take on 'Barker Dynamics' for MCMC.	MCQMC	2020	DBLP DOI BibTeX RDF
14	Gert Janssenswillen, Benoît Depaire, Christel Faes	Enhancing Discovered Process Models Using Bayesian Inference and MCMC.	Business Process Management Workshops	2020	DBLP DOI BibTeX RDF
14	Pablo León-Villagrá, Kay Otsubo, Chris Lucas 0001, Daphna Buchsbaum	Uncovering Category Representations with Linked MCMC with People.	CogSci	2020	DBLP BibTeX RDF
14	Erik Nijkamp, Mitch Hill, Tian Han 0001, Song-Chun Zhu, Ying Nian Wu	On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models.	AAAI	2020	DBLP DOI BibTeX RDF
14	Wenbo Sun, Ivona Bezáková	Sampling Random Chordal Graphs by MCMC (Student Abstract).	AAAI	2020	DBLP DOI BibTeX RDF
14	Philip Maybank, Patrick Peltzer, Uwe Naumann, Ingo Bojak	MCMC for Bayesian Uncertainty Quantification from Time-Series Data.	ICCS (7)	2020	DBLP DOI BibTeX RDF
14	Maosen Zhang, Nan Jiang 0012, Lei Li 0005, Yexiang Xue	Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach.	EMNLP (Findings)	2020	DBLP DOI BibTeX RDF
14	Arun Ganesh, Kunal Talwar	Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC.	NeurIPS	2020	DBLP BibTeX RDF
14	Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi	A Closest Point Proposal for MCMC-based Probabilistic Surface Registration.	ECCV (17)	2020	DBLP DOI BibTeX RDF
14	Erik Nijkamp, Bo Pang, Tian Han 0001, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu	Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference.	ECCV (6)	2020	DBLP DOI BibTeX RDF
14	Long Guoqi	Research on Economic Growth Based on MCMC Principal Component Regression Analysis.	SPIoT (1)	2020	DBLP DOI BibTeX RDF
14	Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson	Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning.	ICLR	2020	DBLP BibTeX RDF
14	Kirill Neklyudov, Max Welling, Evgenii Egorov, Dmitry P. Vetrov	Involutive MCMC: a Unifying Framework.	ICML	2020	DBLP BibTeX RDF
14	Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran	Spectral Subsampling MCMC for Stationary Time Series.	ICML	2020	DBLP BibTeX RDF
14	Wei Deng 0002, Qi Feng 0005, Liyao Gao, Faming Liang, Guang Lin	Non-convex Learning via Replica Exchange Stochastic Gradient MCMC.	ICML	2020	DBLP BibTeX RDF
14	Joeri Hermans, Volodimir Begy, Gilles Louppe	Likelihood-free MCMC with Amortized Approximate Ratio Estimators.	ICML	2020	DBLP BibTeX RDF
14	Ruqi Zhang, A. Feder Cooper, Christopher De Sa	AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC.	AISTATS	2020	DBLP BibTeX RDF
14	Kumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson	Distributed, partially collapsed MCMC for Bayesian Nonparametrics.	AISTATS	2020	DBLP BibTeX RDF
14	Maryam Rasti, Narges Manouchehri, Nizar Bouguila	MCMC-Based Learning of Finite Bivariate Beta Mixture Models.	FLAIRS	2020	DBLP BibTeX RDF
14	Fernando Llorente 0001, Luca Martino, David Delgado-Gómez, Javier López-Santiago	On the computation of marginal likelihood via MCMC for model selection and hypothesis testing.	EUSIPCO	2020	DBLP DOI BibTeX RDF
14	Jean-Michel Brankart	Implicitly Localized MCMC Sampler to Cope With Non-local/Non-linear Data Constraints in Large-Size Inverse Problems.	Frontiers Appl. Math. Stat.	2019	DBLP DOI BibTeX RDF
14	Gloria I. Valderrama-Bahamóndez, Holger Fröhlich	MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology.	Frontiers Appl. Math. Stat.	2019	DBLP DOI BibTeX RDF
14	Otto Lamminpää, Jonathan Hobbs, Jenný Brynjarsdóttir, Marko Laine, Amy Braverman, Hannakaisa Lindqvist, Johanna Tamminen	Accelerated MCMC for Satellite-Based Measurements of Atmospheric CO2.	Remote. Sens.	2019	DBLP DOI BibTeX RDF
14	Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth	Control variates for stochastic gradient MCMC.	Stat. Comput.	2019	DBLP DOI BibTeX RDF
14	Sinan Yildirim, Beyza Ermis	Exact MCMC with differentially private moves - Revisiting the penalty algorithm in a data privacy framework.	Stat. Comput.	2019	DBLP DOI BibTeX RDF
14	Florian Maire, Nial Friel, Pierre Alquier	Informed sub-sampling MCMC: approximate Bayesian inference for large datasets.	Stat. Comput.	2019	DBLP DOI BibTeX RDF
14	Muhammad Javvad ur Rehman, Sarat C. Dass, Vijanth S. Asirvadam	An augmented sequential MCMC procedure for particle based learning in dynamical systems.	Signal Process.	2019	DBLP DOI BibTeX RDF
14	Haibo Liu, Tianran Liu, Yapeng Li, Mengmeng Xi, Te Li, Yongqing Wang	Point Cloud Registration Based on MCMC-SA ICP Algorithm.	IEEE Access	2019	DBLP DOI BibTeX RDF
14	Huawei Chao, Bo Hu, Kaigui Xie, Heng-Ming Tai, Jiahao Yan, Yanlin Li	A Sequential MCMC Model for Reliability Evaluation of Offshore Wind Farms Considering Severe Weather Conditions.	IEEE Access	2019	DBLP DOI BibTeX RDF
14	Lihao Zhang, Zeyang Ye, Yuefan Deng	Parallel MCMC methods for global optimization.	Monte Carlo Methods Appl.	2019	DBLP DOI BibTeX RDF
14	Hayette Braham, Louiza Berdjoudj, Mohamed Boualem, Nadji Rahmania	Analysis of a non-Markovian queueing model: Bayesian statistics and MCMC methods.	Monte Carlo Methods Appl.	2019	DBLP DOI BibTeX RDF
14	Syed Ali Ahmed, Saad Mneimneh	Gibbs/MCMC Sampling for Multiple RNA Interaction with Sub-Optimal Solutions.	IEEE ACM Trans. Comput. Biol. Bioinform.	2019	DBLP DOI BibTeX RDF
14	Suyash P. Awate, Saurabh Garg 0003, Rohit Jena	Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach.	Medical Image Anal.	2019	DBLP DOI BibTeX RDF
14	Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox	Stochastic Gradient MCMC for State Space Models.	SIAM J. Math. Data Sci.	2019	DBLP DOI BibTeX RDF
14	I. Róbert Sipos, Attila Ceffer, Gábor Horváth 0002, János Levendovszky	Parallel MCMC sampling of AR-HMMs for prediction based option trading.	Algorithmic Finance	2019	DBLP DOI BibTeX RDF
14	Matthias Morzfeld, Xin T. Tong, Youssef M. Marzouk	Localization for MCMC: sampling high-dimensional posterior distributions with local structure.	J. Comput. Phys.	2019	DBLP DOI BibTeX RDF
14	Arvind K. Saibaba, Johnathan M. Bardsley, D. Andrew Brown, Alen Alexanderian	Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
14	George G. Vega Yon, Paul Marjoram	fmcmc: A friendly MCMC framework.	J. Open Source Softw.	2019	DBLP DOI BibTeX RDF
14	Daniel Foreman-Mackey, Will Farr, Manodeep Sinha, Anne M. Archibald, David W. Hogg, Jeremy Sanders, Joe Zuntz, Peter H. Williams, Andrew R. J. Nelson, Miguel de Val-Borro, Tobias Erhardt, Ilya Pashchenko, Oriol Abril Pla	emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC.	J. Open Source Softw.	2019	DBLP DOI BibTeX RDF
14	Shana Scogin, Johannes Karreth, Andreas Beger, Rob Williams	BayesPostEst: An R Package to Generate Postestimation Quantities for Bayesian MCMC Estimation.	J. Open Source Softw.	2019	DBLP DOI BibTeX RDF
14	Ellert van der Velden	Model dispersion with PRISM; an alternative to MCMC for rapid analysis of models.	J. Open Source Softw.	2019	DBLP DOI BibTeX RDF
14	Di Wu 0027, Jinwen Ma	An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation.	Neurocomputing	2019	DBLP DOI BibTeX RDF
14	Changyou Chen, Wenlin Wang, Yizhe Zhang 0002, Qinliang Su, Lawrence Carin	A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC.	Sci. China Inf. Sci.	2019	DBLP DOI BibTeX RDF
14	Denis Belomestny, Leonid Iosipoi, Eric Moulines, Alexey Naumov, Sergey Samsonov	Variance reduction for Markov chains with application to MCMC.	CoRR	2019	DBLP BibTeX RDF
14	Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan	Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing.	CoRR	2019	DBLP BibTeX RDF
14	Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan	High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm.	CoRR	2019	DBLP BibTeX RDF
14	Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima	Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling.	CoRR	2019	DBLP BibTeX RDF
14	Frank Phillipson, Jurriaan Parie, Ron Weikamp	Prune Sampling: a MCMC inference technique for discrete and deterministic Bayesian networks.	CoRR	2019	DBLP BibTeX RDF
14	Tim Zajic	Non-asymptotic error bounds for scaled underdamped Langevin MCMC.	CoRR	2019	DBLP BibTeX RDF
14	Reza Mohammadi, Matthew T. Pratola, Maurits Kaptein	Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models.	CoRR	2019	DBLP BibTeX RDF
14	Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson	Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning.	CoRR	2019	DBLP BibTeX RDF
14	Erik Nijkamp, Mitch Hill, Tian Han 0001, Song-Chun Zhu, Ying Nian Wu	On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models.	CoRR	2019	DBLP BibTeX RDF
14	Christopher Aicher, Srshti Putcha, Christopher Nemeth, Paul Fearnhead, Emily B. Fox	Stochastic Gradient MCMC for Nonlinear State Space Models.	CoRR	2019	DBLP BibTeX RDF
14	Tung-Yu Wu, Y. X. Rachel Wang, Wing H. Wong	Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal.	CoRR	2019	DBLP BibTeX RDF
14	Weiming Feng 0001, Kun He 0011, Xiaoming Sun 0001, Yitong Yin	Dynamic MCMC Sampling.	CoRR	2019	DBLP BibTeX RDF
14	Arash Vahdat, Evgeny Andriyash, William G. Macready	Learning Undirected Posteriors by Backpropagation through MCMC Updates.	CoRR	2019	DBLP BibTeX RDF
14	Chang Liu 0030, Jingwei Zhuo, Jun Zhu 0001	Understanding MCMC Dynamics as Flows on the Wasserstein Space.	CoRR	2019	DBLP BibTeX RDF
14	Soma Yokoi, Takuma Otsuka, Issei Sato	On Transformations in Stochastic Gradient MCMC.	CoRR	2019	DBLP BibTeX RDF
14	Denis Belomestny, Leonid Iosipoi	Fourier transform MCMC, heavy tailed distributions and geometric ergodicity.	CoRR	2019	DBLP BibTeX RDF
14	Francisco J. R. Ruiz, Michalis K. Titsias	A Contrastive Divergence for Combining Variational Inference and MCMC.	CoRR	2019	DBLP BibTeX RDF
14	Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu	On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model.	CoRR	2019	DBLP BibTeX RDF
14	Guanyang Wang	A Multi-armed Bandit MCMC, with applications in sampling from doubly intractable posterior.	CoRR	2019	DBLP BibTeX RDF
14	Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant	Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC.	CoRR	2019	DBLP BibTeX RDF