Minh-Ngoc Tran
- Variational Bayes with Intractable Likelihood
2015/03/30 by Minh-Ngoc Tran, Minh‐Ngoc Tran, David J. Nott +4 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #stat.ME
- Bayesian Deep Net GLM and GLMM
2018/05/25 by Minh-Ngoc Tran, Nghia Nguyen, Tran, Minh-Ngoc +5 · 3 citations
Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #stat.CO
- Hamiltonian Monte Carlo with Energy Conserving Subsampling
2017/08/02 by Khue-Dung Dang, Matias Quiroz, Dang, Khue-Dung +7 · 3 citations
Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #stat.CO #stat.ME #stat.ML
- The block-Poisson estimator for optimally tuned exact subsampling MCMC
2016/03/27 by Matias Quiroz, Minh‐Ngoc Tran, Quiroz, Matias +9 · 4 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference #stat.CO #stat.ME #stat.ML
- Speeding Up MCMC by Delayed Acceptance and Data Subsampling
2015/07/31 by Matias Quiroz, Minh-Ngoc Tran, Mattias Villani +1 · 2 citations
Mathematics · #stat.CO #stat.ME
- Fast Inference for Intractable Likelihood Problems using Variational Bayes
2017/05/18 by David Gunawan, Minh‐Ngoc Tran, Minh-Ngoc Tran +4 · 2 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Statistical Process Monitoring #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #stat.ME
- Subsampling Sequential Monte Carlo for Static Bayesian Models
2018/05/08 by David Gunawan, Gunawan, David, Khue-Dung Dang +7 · 1 citation
Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #stat.CO #stat.ME #stat.ML
- Robustly estimating the marginal likelihood for cognitive models via importance sampling
2019/06/14 by Minh-Ngoc Tran, Marcel Scharth, Tran, Minh-Ngoc +9 · 1 citation
Mathematics · #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #stat.AP #stat.CO
- Subsampling MCMC - An introduction for the survey statistician
2018/07/23 by Matias Quiroz, Quiroz, Matias, Mattias Villani +9 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #stat.CO #stat.ME #stat.ML
- Spectral Subsampling MCMC for Stationary Time Series
2019/10/30 by Robert Salomone, Salomone, Robert, Matias Quiroz +8 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #stat.CO #stat.ME
- A practical tutorial on Variational Bayes
2021/03/01 by Minh-Ngoc Tran, Minh‐Ngoc Tran, Trong-Nghia Nguyen +5 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference #stat.CO #stat.ME #stat.ML
- Speeding Up MCMC by Efficient Data Subsampling
2014/04/30 by Matias Quiroz, Robert Kohn, Mattias Villani +1 · 1 citation
Mathematics · #stat.ME #stat.CO #stat.ML