Cuong V. Nguyen
Cuong V. Nguyen
Amazon Web Services (AWS)
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Cited by
Cited by
Variational Continual Learning
CV Nguyen, Y Li, TD Bui, RE Turner
International Conference on Learning Representations, 2018
Conditional random field with high-order dependencies for sequence labeling and segmentation
NV Cuong, N Ye, WS Lee, HL Chieu
The Journal of Machine Learning Research 15 (1), 981-1009, 2014
Streaming sparse Gaussian process approximations
TD Bui, C Nguyen, RE Turner
Advances in Neural Information Processing Systems, 3299-3307, 2017
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
NV Cuong, WS Lee, N Ye, KMA Chai, HL Chieu
Advances in Neural Information Processing Systems, 1457-1465, 2013
Mel-frequency Cepstral Coefficients for Eye Movement Identification
NV Cuong, V Dinh, LST Ho
International Conference on Tools with Artificial Intelligence, 2012
Near-optimal Adaptive Pool-based Active Learning with General Loss
NV Cuong, WS Lee, N Ye
Uncertainty in Artificial Intelligence (UAI), 2014
Improving and understanding variational continual learning
S Swaroop, CV Nguyen, TD Bui, RE Turner
Continual Learning Workshop @ NeurIPS 2018, 2019
Meta-analysis of Continual Learning
CV Nguyen, A Achille, M Lam, T Hassner, V Mahadevan, S Soatto
Workshop on Meta-Learning @ NeurIPS 2019, 2019
Transferability and hardness of supervised classification tasks
AT Tran, CV Nguyen, T Hassner
Proceedings of the IEEE/CVF International Conference on Computer Visioná…, 2019
LEEP: A new measure to evaluate transferability of learned representations
C Nguyen, T Hassner, M Seeger, C Archambeau
International Conference on Machine Learning, 7294-7305, 2020
Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization
LTK Hien, CV Nguyen, H Xu, C Lu, J Feng
Journal of Optimization Theory and Applications, 1-26, 2019
Semi-Markov conditional random field with high-order features
VC Nguyen, N Ye, WS Lee, HL Chieu
ICML Workshop on Structured Sparsity: Learning and Inference, 2011
Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs
NV Cuong, MK Chandrasekaran, MY Kan, WS Lee
Joint Conference on Digital Libraries, 2015
Partitioned variational inference: A unified framework encompassing federated and continual learning
TD Bui, CV Nguyen, S Swaroop, RE Turner
arXiv preprint arXiv:1811.11206, 2018
Learning From Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers
V Dinh, LST Ho, NV Cuong, D Nguyen, BT Nguyen
Conference on Theory and Applications of Models of Computation, 2015
Generalization and robustness of batched weighted average algorithm with V-geometrically ergodic Markov data
NV Cuong, LST Ho, V Dinh
International Conference on Algorithmic Learning Theory, 264-278, 2013
Adaptive maximization of pointwise submodular functions with budget constraint
NV Cuong, H Xu
arXiv preprint arXiv:1603.09029, 2016
Online variational Bayesian inference: Algorithms for sparse Gaussian processes and theoretical bounds
CV Nguyen, TD Bui, Y Li, RE Turner
ICML 2017 Time Series Workshop, 2017
Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification
NV Cuong, N Ye, WS Lee
AAAI Conference on Artificial Intelligence, 2016
Semi-supervised Learning for Vietnamese Named Entity Recognition using Online Conditional Random Fields
QH Pham, ML Nguyen, BT Nguyen, NV Cuong
ACL-IJCNLP 2015 Named Entities Workshop, 2015
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