GH

Geoffrey Hinton

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S9-042025-2911912

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📚 Publications (2)

Integration of Causal Inference with Machine Learning for Improved Treatment Effect Estimation in Observational Studies
Journal: ISCSITR - International Journal of Machine Learning • June 2022
Estimating treatment effects accurately in observational studies is a persistent challenge due to confounding, selection bias, and the non-random assignment of treatments. Traditional causal inference...
Causal inference Machine learning Treatment effect estimation Observational data Confounding Heterogeneous treatment effect
An Empirical Study on the Effectiveness of Batch Normalization and Dropout in Stabilizing Deep Neural Network Training
Journal: IACSE - International Journal of Artificial Intelligence and Machine Learning • February 2024
Stabilizing the training of deep neural networks (DNNs) remains a central challenge in deep learning. This study investigates the empirical effectiveness of two widely adopted regularization and norma...
Batch normalization Dropout Deep neural networks Training stability Generalization Regularization Convergence.
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