Artigos com autorizações de acesso público - Zhongxiang DaiSaiba mais
19 artigos disponíveis publicamente
Functional connectivity analysis of mental fatigue reveals different network topological alterations between driving and vigilance tasks
GN Dimitrakopoulos, I Kakkos, Z Dai, H Wang, K Sgarbas, N Thakor, ...
IEEE transactions on neural systems and rehabilitation engineering 26 (4 …, 2018
Autorizações: Chinese Academy of Sciences
Federated Bayesian optimization via Thompson sampling
Z Dai, BKH Low, P Jaillet
Advances in Neural Information Processing Systems (NeurIPS-20) 33, 2020
Autorizações: A*Star, Singapore
Fault-tolerant federated reinforcement learning with theoretical guarantee
X Fan, Y Ma, Z Dai, W Jing, C Tan, BKH Low
Advances in Neural Information Processing Systems 34, 1007-1021, 2021
Autorizações: A*Star, Singapore
Modular‐level alterations of structure–function coupling in schizophrenia connectome
Y Sun, Z Dai, J Li, SL Collinson, K Sim
Human brain mapping 38 (4), 2008-2025, 2017
Autorizações: A*Star, Singapore
Differentially private federated Bayesian optimization with distributed exploration
Z Dai, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 34, 9125-9139, 2021
Autorizações: National Research Foundation, Singapore
Implicit posterior variational inference for deep Gaussian processes
H Yu, Y Chen, Z Dai, KH Low, P Jaillet
Advances in Neural Information Processing Systems (NeurIPS-19) 32, 2019
Autorizações: National Research Foundation, Singapore
R2-B2: Recursive reasoning-based Bayesian optimization for no-regret learning in games
Z Dai, Y Chen, BKH Low, P Jaillet, TH Ho
International Conference on Machine Learning (ICML-20), 2291-2301, 2020
Autorizações: A*Star, Singapore, National Research Foundation, Singapore
Unifying and boosting gradient-based training-free neural architecture search
Y Shu, Z Dai, Z Wu, BKH Low
Advances in Neural Information Processing Systems 35, 33001-33015, 2022
Autorizações: A*Star, Singapore, National Research Foundation, Singapore
Value-at-risk optimization with Gaussian processes
QP Nguyen, Z Dai, BKH Low, P Jaillet
International Conference on Machine Learning, 8063-8072, 2021
Autorizações: A*Star, Singapore
Optimizing conditional value-at-risk of black-box functions
QP Nguyen, Z Dai, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 34, 4170-4180, 2021
Autorizações: A*Star, Singapore
Private outsourced Bayesian optimization
D Kharkovskii, Z Dai, BKH Low
International Conference on Machine Learning (ICML-20), 5231-5242, 2020
Autorizações: National Research Foundation, Singapore
Use your instinct: Instruction optimization using neural bandits coupled with transformers
X Lin, Z Wu, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low
arXiv preprint arXiv:2310.02905, 2023
Autorizações: National Research Foundation, Singapore
Stress-induced changes in modular organizations of human brain functional networks
Y Zhang, Z Dai, J Hu, S Qin, R Yu, Y Sun
Neurobiology of stress 13, 100231, 2020
Autorizações: Chinese Academy of Sciences, National Natural Science Foundation of China
Sample-then-optimize batch neural Thompson sampling
Z Dai, Y Shu, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 35, 23331-23344, 2022
Autorizações: A*Star, Singapore
Bayesian optimization under stochastic delayed feedback
A Verma, Z Dai, BKH Low
International Conference on Machine Learning, 22145-22167, 2022
Autorizações: A*Star, Singapore
On provably robust meta-Bayesian optimization
Z Dai, Y Chen, H Yu, BKH Low, P Jaillet
Uncertainty in Artificial Intelligence, 475-485, 2022
Autorizações: A*Star, Singapore
Neural ensemble search via Bayesian sampling
Y Shu, Y Chen, Z Dai, BKH Low
Uncertainty in Artificial Intelligence, 1803-1812, 2022
Autorizações: A*Star, Singapore
Training-free neural active learning with initialization-robustness guarantees
A Hemachandra, Z Dai, J Singh, SK Ng, BKH Low
International Conference on Machine Learning, 12931-12971, 2023
Autorizações: A*Star, Singapore, National Research Foundation, Singapore
Recursive reasoning-based training-time adversarial machine learning
Y Chen, Z Dai, H Yu, BKH Low, TH Ho
Artificial Intelligence 315, 103837, 2023
Autorizações: National Research Foundation, Singapore
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