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Lightning Talk: Deep Causal Learning 

Microsoft Research
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Join Microsoft Research at NeurIPS 2022 for the live streaming of presentations and demos from Booth #202.
This year at the 36th annual conference on Neural Information Processing Systems, over 150 of our researchers are involved in presentations, posters, accepted papers, and workshops. Learn more about Microsoft’s presence at NeurIPS 2022: aka.ms/microsoftatneurips2022
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Nick Pawlowski, Senior Researcher, Microsoft Research Cambridge & Cheng Zhang, Principal Researcher, Microsoft Research Cambridge

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27 окт 2024

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Комментарии : 5   
@ZYTUSA
@ZYTUSA Год назад
Really great and succinct talk! I'm learning about Causal Inference from a precision medicine context, and it's great to be exposed at a high level to the concepts in estimating causal effects from limited data using deep learning and bayesian model averaging on estimated DAGs. Thanks 👍
@coralexbadea
@coralexbadea Год назад
I really feel that the equations should be replaced with visualisation or at least explained more. In the end it is still glorified Bayes theorem and matrix multiplication :D. Great intent to show the latest works in any case, great work!
@saishridhar5705
@saishridhar5705 8 месяцев назад
I understood absolutely nothing 😭. Guess I have much to learn
@drytsk
@drytsk Год назад
Showing a few practical cases would be nice, successful and not.
@Amerikan.kartali.turk.yilani.
@Amerikan.kartali.turk.yilani. Год назад
Super success super congrats. Keep up the good work. Please kindly more work on human level end to end real causal intelligent AI
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