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Automatic construction of nonparametric relational regression models for multiple time series
Y Hwang, A Tong, J Choi
International Conference on Machine Learning, 3030-3039, 2016
452016
Discovering Latent Covariance Structures for Multiple Time Series
A Tong, J Choi
International Conference on Machine Learning, 6285-6294, 2019
152019
Learning Fractional White Noises in Neural Stochastic Differential Equations
A Tong, T Nguyen-Tang, T Tran, J Choi
NeurIPS, 2022
72022
Confirmatory Bayesian online change point detection in the covariance structure of Gaussian processes
J Han, K Lee, A Tong, J Choi
IJCAI, 2019
72019
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
A Tong, T Tran, H Bui, J Choi
AAAI, 2021
32021
Roles of ambient temperature and relative humidity on the relationship between fine particulate matter and gaseous pollutants in the largest industrial city of Ulsan, South Korea
T Van Do, QT Vuong, A Tong, CK Song, SD Choi
Environmental Science and Pollution Research 30 (43), 96926-96937, 2023
22023
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
A Tong, J Choi
AAAI, 2021
22021
Automatic Generation of Probabilistic Programming from Time Series Data
A Tong, J Choi
arXiv preprint arXiv:1607.00710, 2016
22016
SigFormer: Signature Transformers for Deep Hedging
A Tong, T Nguyen-Tang, D Lee, TM Tran, J Choi
Proceedings of the Fourth ACM International Conference on AI in Finance, 124-132, 2023
2023
Conditional Support Alignment for Domain Adaptation with Label Shift
TL Tran, A Tong, TDH Nguyen, T Tran
2023
Global Contrastive Learning for Long-Tailed Classification
T Bach, A Tong, TS Hy, V Nguyen, T Nguyen-Tang
Transactions on Machine Learning Research, 2023
2023
Conditional Support Alignment for Domain Adaptation with Label Shift
AT Nguyen, L Tran, A Tong, TDH Nguyen, T Tran
arXiv preprint arXiv:2305.18458, 2023
2023
Probabilistic Model Discovery: Relational Learning and Scalable Inference
A Tong
UNIST, 2021
2021
Explain pathology in Deep Gaussian Process using Chaos Theory
A Tong, J Choi
ICML 2019 Workshop - Theoretical Physics for Deep Learning, 2019
2019
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