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Adaptive Multi-Source Causal Inference from Observational D..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,

Vo, Thanh Vinh ; Wei, Pengfei ; Hoang, Trong Nghia. - p. 1975-1985 , 2022

Link: https://dl.acm.org/doi/10.1145/3511808.3557230

RT 
T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Adaptive Multi-Source Causal Inference from Observational Data</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3557230&Exemplar=1&LAN=DE
				
A1 Vo, Thanh Vinh
A1 Wei, Pengfei
A1 Hoang, Trong Nghia
A1 Leong, Tze Yun
PB ACM
YR 2022
K1 causal inference
K1 heterogeneous treatment effect
K1 representer theorem
K1 transfer learning
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic representations
K1 Causal networks
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Multi-task learning
K1 Transfer learning
K1 Artificial intelligence
K1 Knowledge representation and reasoning
K1 Causal reasoning and diagnostics
K1 Machine learning approaches
K1 Learning in probabilistic graphical models
K1 Latent variable models
K1 Probabilistic reasoning algorithms
K1 Variational methods
K1 Kernel methods
SP 1975
OP 1985
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557230
DO https://dl.acm.org/doi/10.1145/3511808.3557230
SF ELIB - SuUB Bremen

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