default search action
Minh-Ngoc Tran
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j24]Minh-Ngoc Tran, Van-Binh Duong, Young-Han Kim:
Design of Computing-Aware Traffic Steering Architecture for 5G Mobile User Plane. IEEE Access 12: 88370-88382 (2024) - [j23]Minh-Ngoc Tran, Young-Han Kim:
Design of 5G Architecture Enhancements for Supporting Serverless Computing. IEEE Access 12: 163382-163395 (2024) - [j22]Minh-Ngoc Tran, Young-Han Kim:
Optimized resource usage with hybrid auto-scaling system for knative serverless edge computing. Future Gener. Comput. Syst. 152: 304-316 (2024) - [j21]Minh-Ngoc Tran, Young-Han Kim:
Concurrent service auto-scaling for Knative resource quota-based serverless system. Future Gener. Comput. Syst. 160: 326-339 (2024) - [j20]Nhat Minh Nguyen, Minh-Ngoc Tran, Rohitash Chandra:
Sequential reversible jump MCMC for dynamic Bayesian neural networks. Neurocomputing 564: 126960 (2024) - 2023
- [c9]Anna Lopatnikova, Minh-Ngoc Tran:
Quantum Variational Bayes on Manifolds. ICASSP 2023: 1-5 - [i10]Chen Liu, Chao Wang, Minh-Ngoc Tran, Robert Kohn:
Realized recurrent conditional heteroskedasticity model for volatility modelling. CoRR abs/2302.08002 (2023) - [i9]Minh-Ngoc Tran, Paco Tseng, Robert Kohn:
Particle Mean Field Variational Bayes. CoRR abs/2303.13930 (2023) - [i8]Chen Liu, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Robert Kohn:
DeepVol: A Deep Transfer Learning Approach for Universal Asset Volatility Modeling. CoRR abs/2309.02072 (2023) - 2022
- [j19]Minh-Ngoc Tran, Xuan Tuong Vu, Young-Han Kim:
Proactive Stateful Fault-Tolerant System for Kubernetes Containerized Services. IEEE Access 10: 102181-102194 (2022) - [j18]Dinh Dai Vu, Minh-Ngoc Tran, Young-Han Kim:
Predictive Hybrid Autoscaling for Containerized Applications. IEEE Access 10: 109768-109778 (2022) - [j17]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Adaptive hierarchical hyper-gradient descent. Int. J. Mach. Learn. Cybern. 13(12): 3785-3805 (2022) - [c8]Ta Phuong Bac, Minh-Ngoc Tran, Young-Han Kim:
Serverless Computing Approach for Deploying Machine Learning Applications in Edge Layer. ICOIN 2022: 396-401 - [c7]Minh-Ngoc Tran, Dinh Dai Vu, Younghan Kim:
A Survey of Autoscaling in Kubernetes. ICUFN 2022: 263-265 - [c6]Minh-Ngoc Tran, Younghan Kim:
Network Performance Benchmarking for Containerized Infrastructure in NFV environment. NetSoft 2022: 115-120 - 2021
- [j16]Matias Quiroz, Minh-Ngoc Tran, Mattias Villani, Robert Kohn, Khue-Dung Dang:
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC. J. Comput. Graph. Stat. 30(4): 877-888 (2021) - [j15]Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach:
Manifold Optimization-Assisted Gaussian Variational Approximation. J. Comput. Graph. Stat. 30(4): 946-957 (2021) - [j14]Xuejun Yu, David J. Nott, Minh-Ngoc Tran, Nadja Klein:
Assessment and Adjustment of Approximate Inference Algorithms Using the Law of Total Variance. J. Comput. Graph. Stat. 30(4): 977-990 (2021) - [j13]Briytone Mutichiro, Minh-Ngoc Tran, Young-Han Kim:
QoS-Based Service-Time Scheduling in the IoT-Edge Cloud. Sensors 21(17): 5797 (2021) - [c5]Minh-Ngoc Tran, Younghan Kim:
A Cloud QoS-driven Scheduler based on Deep Reinforcement Learning. ICTC 2021: 1823-1825 - [i7]Anna Lopatnikova, Minh-Ngoc Tran:
An Introduction to Quantum Computing for Statisticians. CoRR abs/2112.06587 (2021) - 2020
- [j12]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints. IEEE Access 8: 69038-69057 (2020) - [j11]David Gunawan, Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran:
Subsampling sequential Monte Carlo for static Bayesian models. Stat. Comput. 30(6): 1741-1758 (2020) - [c4]Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran:
Spectral Subsampling MCMC for Stationary Time Series. ICML 2020: 8449-8458 - [c3]Ngoc-Thanh Dinh, Minh-Ngoc Tran, Youngki Park, Younghan Kim:
An Information-centric NFV-based System Implementation for Disaster Management Services. ICOIN 2020: 807-810 - [c2]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Regularized Flexible Activation Function Combination for Deep Neural Networks. ICPR 2020: 2001-2008 - [c1]Minh-Ngoc Tran, Younghan Kim:
NDN-based Emergency Communication over Edge Computing Infrastructure. ICTC 2020: 353-358 - [i6]Zhengkun Li, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Junbin Gao:
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting. CoRR abs/2001.08374 (2020) - [i5]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Regularized Flexible Activation Function Combinations for Deep Neural Networks. CoRR abs/2007.13101 (2020) - [i4]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Adaptive Multi-level Hyper-gradient Descent. CoRR abs/2008.07277 (2020)
2010 – 2019
- 2019
- [j10]Dao Thanh Tung, Minh-Ngoc Tran, Tran Manh Cuong:
Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models. Commun. Stat. Simul. Comput. 48(2): 530-543 (2019) - [j9]Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran, Mattias Villani:
Hamiltonian Monte Carlo with Energy Conserving Subsampling. J. Mach. Learn. Res. 20: 100:1-100:31 (2019) - [j8]David Gunawan, Minh-Ngoc Tran, Kosuke Suzuki, Josef Dick, Robert Kohn:
Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins. Stat. Comput. 29(5): 933-946 (2019) - [i3]Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach:
Manifold Optimisation Assisted Gaussian Variational Approximation. CoRR abs/1902.03718 (2019) - [i2]Minh-Ngoc Tran, Dang Hai Nguyen, Duy Nguyen:
Variational Bayes on Manifolds. CoRR abs/1908.03097 (2019) - 2018
- [j7]Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi:
Likelihood-free inference in high dimensions with synthetic likelihood. Comput. Stat. Data Anal. 128: 271-291 (2018) - [j6]Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi:
Variational Bayes with synthetic likelihood. Stat. Comput. 28(4): 971-988 (2018) - 2016
- [j5]Minh-Ngoc Tran, Michael K. Pitt, Robert Kohn:
Adaptive Metropolis-Hastings sampling using reversible dependent mixture proposals. Stat. Comput. 26(1-2): 361-381 (2016) - 2012
- [j4]David J. Nott, Minh-Ngoc Tran, Chenlei Leng:
Variational approximation for heteroscedastic linear models and matching pursuit algorithms. Stat. Comput. 22(2): 497-512 (2012) - [j3]Minh-Ngoc Tran, David J. Nott, Chenlei Leng:
The predictive Lasso. Stat. Comput. 22(5): 1069-1084 (2012) - [j2]David J. Nott, Lucy A. Marshall, Minh-Ngoc Tran:
The ensemble Kalman filter is an ABC algorithm. Stat. Comput. 22(6): 1273-1276 (2012) - 2010
- [j1]Marcus Hutter, Minh-Ngoc Tran:
Model selection with the Loss Rank Principle. Comput. Stat. Data Anal. 54(5): 1288-1306 (2010) - [i1]Marcus Hutter, Minh-Ngoc Tran:
Model Selection with the Loss Rank Principle. CoRR abs/1003.0516 (2010)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 22:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint