Nguyen Viet Cuong
Department of Engineering
University of Cambridge
Email (without spaces): v c n 2 2 [AT] c a m . a c . u k
Machine Learning Theory and Applications
Nguyen Viet Cuong, Huan Xu.
Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint
. Advances in Neural Information Processing Systems (NIPS 2016).
Nguyen Viet Cuong, Nan Ye, Wee Sun Lee.
Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification
. AAAI Conference on Artificial Intelligence (AAAI 2016). [
Nguyen Viet Cuong.
Near-optimality and Robustness of Greedy Algorithms for Bayesian Pool-based Active Learning
. Department of Computer Science, National University of Singapore, 2015.
Quang H. Pham,
Minh-Le Nguyen, Binh T. Nguyen, Nguyen Viet Cuong.
Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields
. ACL-IJCNLP 2015 Named Entities Workshop (NEWS 2015).
Nguyen Viet Cuong,
Muthu Kumar Chandrasekaran, Min-Yen Kan, Wee Sun Lee.
Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs
. Joint Conference on Digital Libraries (JCDL 2015). [
Vu Dinh, Lam Si Tung Ho, Nguyen Viet Cuong, Duy Nguyen, Binh T. Nguyen.
Learning From Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers
Theory and Applications
of Models of Computation (TAMC 2015). [
NIPS 2015 Learning Faster from Easy Data Workshop
Quang H. Pham, Binh T. Nguyen, Nguyen Viet Cuong.
Punctuation Prediction for Vietnamese Texts Using Conditional Random Fields
. ACML 2014 Workshop on Machine Learning and Its Applications in Vietnam.
Nguyen Viet Cuong, Wee Sun Lee, Nan Ye.
Near-optimal Adaptive Pool-based Active Learning with General Loss
. Conference on Uncertainty in Artificial Intelligence (UAI 2014).
Google Best Student Paper Award
Nguyen Viet Cuong, Nan Ye, Wee Sun Lee, Hai Leong Chieu.
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation
. Journal of Machine Learning Research (JMLR 2014). [
presented at ICML 2011 Structured Sparsity: Learning and Inference Workshop]
Nguyen Viet Cuong, Wee Sun Lee, Nan Ye, Kian Ming A. Chai, Hai Leong Chieu.
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
. Advances in Neural Information Processing Systems (NIPS 2013).
Nguyen Viet Cuong, Lam Si Tung Ho, Vu Dinh.
Generalization and Robustness of Batched Weighted Average Algorithm with V-geometrically Ergodic Markov Data
. International Conference on Algorithmic Learning Theory (ALT 2013).
Nguyen Viet Cuong, Vu Dinh, Lam Si Tung Ho.
Mel-frequency Cepstral Coefficients for Eye Movement Identification
. IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2012). [