Bui, Thang D.

1. Variational Continual Learning
   2017/10/29 by Cuong V. Nguyen, Nguyen, Cuong V., Yingzhen Li +5 · 24 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
2. Deep Gaussian Processes for Regression using Approximate Expectation Propagation
   2016/02/12 by Thang D. Bui, Bui, Thang D., Daniel Hernández-Lobato +7 · 12 citations
   Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks
3. Streaming Sparse Gaussian Process Approximations
   2017/05/19 by Thang D. Bui, Bui, Thang D., Cuong V. Nguyen +3 · 6 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
4. Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
   2024/10/30 by Yashvir S. Grewal, Edwin V. Bonilla, Grewal, Yashvir S. +3 · 6 citations
   Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI)
5. Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights
   2020/02/10 by Theofanis Karaletsos, Thang D. Bui, Karaletsos, Theofanis +1 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
6. Variational Auto-Regressive Gaussian Processes for Continual Learning
   2020/06/09 by Kapoor, Sanyam, Karaletsos, Theofanis, Bui, Thang D. · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
   2022/02/24 by Ashman, Matthew, Bui, Thang D., Nguyen, Cuong V. +4 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Neural Graph Machines: Learning Neural Networks Using Graphs
   2017/03/14 by Thang D. Bui, Sujith Ravi, Bui, Thang D. +3 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Text and Document Classification Technologies #Topic Modeling
9. Likelihood approximations via Gaussian approximate inference
   2024/10/28 by Thang D. Bui, Bui, Thang D. · 1 citation
   Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Statistical Methods and Inference