Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
14 | Yating Wang, Wei Deng 0002, Guang Lin |
Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.16376, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Jin-Yi Cai, Tianyu Liu 0002 |
FPRAS via MCMC where it mixes torpidly (and very little effort). ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.05425, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Amir Shahmoradi, Fatemeh Bagheri, Joshua Alexander Osborne |
Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte: : Python library. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.00724, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Saibal De, Hadi Salehi, Alex A. Gorodetsky |
Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.04295, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Robert J. Webber, David Aristoff, Gideon Simpson |
A splitting method to reduce MCMC variance. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2011.13899, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Qifan Song, Yan Sun 0011, Mao Ye, Faming Liang |
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2002.02919, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Jinchan He, Xiaxia Yu, Chudong Cai, Yi Gao 0002 |
MCMC Guided CNN Training and Segmentation for Pancreas Extraction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2003.03938, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2011.08954, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Volodimir Begy, Erich Schikuta |
Error-guided likelihood-free MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.06735, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Wei Deng 0002, Qi Feng 0005, Georgios Karagiannis, Guang Lin, Faming Liang |
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.01084, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2012.03879, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Span Spanbauer, Cameron E. Freer, Vikash Mansinghka 0001 |
Deep Involutive Generative Models for Neural MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.15167, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Cyrus Cousins, Shahrzad Haddadan, Eli Upfal |
Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2011.11129, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Zengyi Li, Yubei Chen, Friedrich T. Sommer |
A Neural Network MCMC sampler that maximizes Proposal Entropy. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.03587, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Quan Zhang, Huangjie Zheng, Mingyuan Zhou |
MCMC-Interactive Variational Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.02029, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson |
Distributed, partially collapsed MCMC for Bayesian Nonparametrics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2001.05591, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2001.05567, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
14 | Kirill Neklyudov, Max Welling |
Orbital MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.08047, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
14 | Ruqi Zhang, A. Feder Cooper, Christopher De Sa |
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2003.00193, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
14 | Tony Lelièvre, Gabriel Stoltz, Wei Zhang 0065 |
Multiple projection MCMC algorithms on submanifolds. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2003.09402, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2003.04223, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Khaoula el Mekkaoui, Diego P. P. Mesquita, Paul Blomstedt, Samuel Kaski |
Variance reduction for distributed stochastic gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2004.11231, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2006.06897, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
14 | Arun Ganesh, Kunal Talwar |
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.14658, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
14 | Yating Wang, Wei Deng 0002, Guang Lin |
An adaptive Hessian approximated stochastic gradient MCMC method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2010.01384, 2020. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2008.05367, 2020. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mark. Sci. ![In: Mark. Sci. 39(2), pp. 427-447, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Negm Eldin Mohamed Shawky |
Accuracy Enhancement of GPS for Tracking Multiple Drones Based on MCMC Particle Filter. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Secur. Priv. Pervasive Comput. ![In: Int. J. Secur. Priv. Pervasive Comput. 12(1), pp. 1-16, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Tobias Zirr, Carsten Dachsbacher |
Path differential-informed stratified MCMC and adaptive forward path sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Graph. ![In: ACM Trans. Graph. 39(6), pp. 246:1-246:19, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Suparman |
Hierarchical Bayesian Choice of Laplacian ARMA Models Based on Reversible Jump MCMC Computation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Intell. Syst. ![In: Int. J. Comput. Intell. Syst. 13(1), pp. 310-317, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Hongli Yuan, Wenjuan Sun, Yan Chen |
Analysis of Online Learning Time in Flipped classroom Based on MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDEL ![In: ICDEL 2020: The 5th International Conference on Distance Education and Learning, Beijing, China, May, 2020, pp. 103-106, 2020, ACM, 978-1-4503-7754-6. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
14 | Amin Aghighi, Behrouz Farhang-Boroujeny, Armin Tajalli |
Mixed-Mode Signal Processing for Implementing MCMC MIMO Detector. ![Search on Bibsonomy](Pics/bibsonomy.png) |
VLSI-SoC (Selected Papers) ![In: VLSI-SoC: Design Trends - 28th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2020, Salt Lake City, UT, USA, October 6-9, 2020, Revised and Extended Selected Papers, pp. 21-37, 2020, Springer, 978-3-030-81640-7. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Amin Aghighi, Behrouz Farhang-Boroujeny, Armin Tajalli |
Energy and Area Efficient Mixed-Mode MCMC MIMO Detector. ![Search on Bibsonomy](Pics/bibsonomy.png) |
VLSI-SOC ![In: 28th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SOC 2020, Salt Lake City, UT, USA, October 5-7, 2020, pp. 105-110, 2020, IEEE, 978-1-7281-5409-1. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Jussi Viinikka, Mikko Koivisto |
Layering-MCMC for Structure Learning in Bayesian Networks. (PDF / PS) ![Search on Bibsonomy](Pics/bibsonomy.png) |
UAI ![In: Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, UAI 2020, virtual online, August 3-6, 2020, pp. 839-848, 2020, AUAI Press. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ASP-DAC ![In: 25th Asia and South Pacific Design Automation Conference, ASP-DAC 2020, Beijing, China, January 13-16, 2020, pp. 151-156, 2020, IEEE, 978-1-7281-4123-7. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Anand Srinivasan, Naoya Takeishi |
An MCMC Method for Uncertainty Set Generation via Operator-Theoretic Metrics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: 59th IEEE Conference on Decision and Control, CDC 2020, Jeju Island, South Korea, December 14-18, 2020, pp. 2714-2719, 2020, IEEE, 978-1-7281-7447-1. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Jiun-Ting Huang, Young-Han Kim 0001 |
MCMC Decoding of LDPC Codes with BP Preprocessing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GLOBECOM ![In: IEEE Global Communications Conference, GLOBECOM 2020, Virtual Event, Taiwan, December 7-11, 2020, pp. 1-5, 2020, IEEE, 978-1-7281-8298-8. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Max Hird, Samuel Livingstone, Giacomo Zanella |
A fresh Take on 'Barker Dynamics' for MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MCQMC ![In: Monte Carlo and Quasi-Monte Carlo Methods - MCQMC 2020, Oxford, United Kingdom, August 10-14, pp. 169-184, 2020, Springer, 978-3-030-98318-5. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Gert Janssenswillen, Benoît Depaire, Christel Faes |
Enhancing Discovered Process Models Using Bayesian Inference and MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Business Process Management Workshops ![In: Business Process Management Workshops - BPM 2020 International Workshops, Seville, Spain, September 13-18, 2020, Revised Selected Papers, pp. 295-307, 2020, Springer, 978-3-030-66497-8. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Pablo León-Villagrá, Kay Otsubo, Chris Lucas 0001, Daphna Buchsbaum |
Uncovering Category Representations with Linked MCMC with People. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CogSci ![In: Proceedings of the 42th Annual Meeting of the Cognitive Science Society - Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020, virtual, July 29 - August 1, 2020, 2020, cognitivesciencesociety.org. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020., pp. 5272-5280, 2020, AAAI Press, 978-1-57735-823-7. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Wenbo Sun, Ivona Bezáková |
Sampling Random Chordal Graphs by MCMC (Student Abstract). ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020., pp. 13929-13930, 2020, AAAI Press, 978-1-57735-823-7. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Philip Maybank, Patrick Peltzer, Uwe Naumann, Ingo Bojak |
MCMC for Bayesian Uncertainty Quantification from Time-Series Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCS (7) ![In: Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VII, pp. 707-718, 2020, Springer, 978-3-030-50435-9. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EMNLP (Findings) ![In: Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020., pp. 1286-1298, 2020, Association for Computational Linguistics, 978-1-952148-90-3. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Arun Ganesh, Kunal Talwar |
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual., 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi |
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECCV (17) ![In: Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVII, pp. 281-296, 2020, Springer, 978-3-030-58519-8. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECCV (6) ![In: Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part VI, pp. 361-378, 2020, Springer, 978-3-030-58538-9. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
14 | Long Guoqi |
Research on Economic Growth Based on MCMC Principal Component Regression Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SPIoT (1) ![In: The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy - SPIoT-2020, Shanghai, China, 6-8 November 2020, Volume 1, pp. 682-688, 2020, Springer, 978-3-030-62742-3. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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14 | Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson |
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICLR ![In: 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020, OpenReview.net. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Kirill Neklyudov, Max Welling, Evgenii Egorov, Dmitry P. Vetrov |
Involutive MCMC: a Unifying Framework. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event., pp. 7273-7282, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran |
Spectral Subsampling MCMC for Stationary Time Series. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event., pp. 8449-8458, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Wei Deng 0002, Qi Feng 0005, Liyao Gao, Faming Liang, Guang Lin |
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event., pp. 2474-2483, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Joeri Hermans, Volodimir Begy, Gilles Louppe |
Likelihood-free MCMC with Amortized Approximate Ratio Estimators. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event., pp. 4239-4248, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Ruqi Zhang, A. Feder Cooper, Christopher De Sa |
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], pp. 2142-2152, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Kumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson |
Distributed, partially collapsed MCMC for Bayesian Nonparametrics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], pp. 3685-3695, 2020, PMLR. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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14 | Maryam Rasti, Narges Manouchehri, Nizar Bouguila |
MCMC-Based Learning of Finite Bivariate Beta Mixture Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FLAIRS ![In: Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, Originally to be held in North Miami Beach, Florida, USA, May 17-20, 2020., pp. 621-625, 2020, AAAI Press, 978-1-57735-821-3. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EUSIPCO ![In: 28th European Signal Processing Conference, EUSIPCO 2020, Amsterdam, Netherlands, January 18-21, 2021, pp. 2373-2377, 2020, IEEE, 978-9-0827-9705-3. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Frontiers Appl. Math. Stat. ![In: Frontiers Appl. Math. Stat. 5, pp. 58, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Gloria I. Valderrama-Bahamóndez, Holger Fröhlich |
MCMC Techniques for Parameter Estimation of ODE Based Models in Systems Biology. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Frontiers Appl. Math. Stat. ![In: Frontiers Appl. Math. Stat. 5, pp. 55, 2019. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Remote. Sens. ![In: Remote. Sens. 11(17), pp. 2061, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth |
Control variates for stochastic gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 29(3), pp. 599-615, 2019. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 29(5), pp. 947-963, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
14 | Florian Maire, Nial Friel, Pierre Alquier |
Informed sub-sampling MCMC: approximate Bayesian inference for large datasets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 29(3), pp. 449-482, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Muhammad Javvad ur Rehman, Sarat C. Dass, Vijanth S. Asirvadam |
An augmented sequential MCMC procedure for particle based learning in dynamical systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Signal Process. ![In: Signal Process. 160, pp. 32-44, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Haibo Liu, Tianran Liu, Yapeng Li, Mengmeng Xi, Te Li, Yongqing Wang |
Point Cloud Registration Based on MCMC-SA ICP Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 7, pp. 73637-73648, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 7, pp. 132552-132562, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Lihao Zhang, Zeyang Ye, Yuefan Deng |
Parallel MCMC methods for global optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Monte Carlo Methods Appl. ![In: Monte Carlo Methods Appl. 25(3), pp. 227-237, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Hayette Braham, Louiza Berdjoudj, Mohamed Boualem, Nadji Rahmania |
Analysis of a non-Markovian queueing model: Bayesian statistics and MCMC methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Monte Carlo Methods Appl. ![In: Monte Carlo Methods Appl. 25(2), pp. 147-154, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Syed Ali Ahmed, Saad Mneimneh |
Gibbs/MCMC Sampling for Multiple RNA Interaction with Sub-Optimal Solutions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE ACM Trans. Comput. Biol. Bioinform. ![In: IEEE ACM Trans. Comput. Biol. Bioinform. 16(3), pp. 703-712, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Suyash P. Awate, Saurabh Garg 0003, Rohit Jena |
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Medical Image Anal. ![In: Medical Image Anal. 55, pp. 181-196, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Christopher Aicher, Yi-An Ma, Nicholas J. Foti, Emily B. Fox |
Stochastic Gradient MCMC for State Space Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIAM J. Math. Data Sci. ![In: SIAM J. Math. Data Sci. 1(3), pp. 555-587, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | I. Róbert Sipos, Attila Ceffer, Gábor Horváth 0002, János Levendovszky |
Parallel MCMC sampling of AR-HMMs for prediction based option trading. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Algorithmic Finance ![In: Algorithmic Finance 8(1-2), pp. 47-55, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Matthias Morzfeld, Xin T. Tong, Youssef M. Marzouk |
Localization for MCMC: sampling high-dimensional posterior distributions with local structure. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Phys. ![In: J. Comput. Phys. 380, pp. 1-28, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Arvind K. Saibaba, Johnathan M. Bardsley, D. Andrew Brown, Alen Alexanderian |
Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIAM/ASA J. Uncertain. Quantification ![In: SIAM/ASA J. Uncertain. Quantification 7(3), pp. 1105-1131, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | George G. Vega Yon, Paul Marjoram |
fmcmc: A friendly MCMC framework. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Open Source Softw. ![In: J. Open Source Softw. 4(39), pp. 1427, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Open Source Softw. ![In: J. Open Source Softw. 4(43), pp. 1864, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Shana Scogin, Johannes Karreth, Andreas Beger, Rob Williams |
BayesPostEst: An R Package to Generate Postestimation Quantities for Bayesian MCMC Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Open Source Softw. ![In: J. Open Source Softw. 4(42), pp. 1722, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Ellert van der Velden |
Model dispersion with PRISM; an alternative to MCMC for rapid analysis of models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Open Source Softw. ![In: J. Open Source Softw. 4(38), pp. 1229, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Di Wu 0027, Jinwen Ma |
An effective EM algorithm for mixtures of Gaussian processes via the MCMC sampling and approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neurocomputing ![In: Neurocomputing 331, pp. 366-374, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Sci. China Inf. Sci. ![In: Sci. China Inf. Sci. 62(1), pp. 12101:1-12101:13, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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14 | Denis Belomestny, Leonid Iosipoi, Eric Moulines, Alexey Naumov, Sergey Samsonov |
Variance reduction for Markov chains with application to MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1910.03643, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan |
Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1912.05153, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan |
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1908.10859, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1903.11048, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Frank Phillipson, Jurriaan Parie, Ron Weikamp |
Prune Sampling: a MCMC inference technique for discrete and deterministic Bayesian networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1908.06335, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Tim Zajic |
Non-asymptotic error bounds for scaled underdamped Langevin MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1912.03154, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Reza Mohammadi, Matthew T. Pratola, Maurits Kaptein |
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1904.09339, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson |
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1902.03932, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1903.12370, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Christopher Aicher, Srshti Putcha, Christopher Nemeth, Paul Fearnhead, Emily B. Fox |
Stochastic Gradient MCMC for Nonlinear State Space Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1901.10568, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Tung-Yu Wu, Y. X. Rachel Wang, Wing H. Wong |
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1908.02910, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Weiming Feng 0001, Kun He 0011, Xiaoming Sun 0001, Yitong Yin |
Dynamic MCMC Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1904.11807, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Arash Vahdat, Evgeny Andriyash, William G. Macready |
Learning Undirected Posteriors by Backpropagation through MCMC Updates. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1901.03440, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Chang Liu 0030, Jingwei Zhuo, Jun Zhu 0001 |
Understanding MCMC Dynamics as Flows on the Wasserstein Space. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1902.00282, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Soma Yokoi, Takuma Otsuka, Issei Sato |
On Transformations in Stochastic Gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1903.02750, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Denis Belomestny, Leonid Iosipoi |
Fourier transform MCMC, heavy tailed distributions and geometric ergodicity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1909.00698, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Francisco J. R. Ruiz, Michalis K. Titsias |
A Contrastive Divergence for Combining Variational Inference and MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1905.04062, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu |
On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1904.09770, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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14 | Guanyang Wang |
A Multi-armed Bandit MCMC, with applications in sampling from doubly intractable posterior. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1903.05726, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1901.04827, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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