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Carlos Guestrin

Faculty

Bayesian Modeling and Causal InferenceEnergy Efficient Wireless Sensor NetworksMachine Learning and AlgorithmsMachine Learning and Data Classification
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Steady
#170
/360 · Computer Science
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Teaching
—/5
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Citations
52k
h 74 · i10 148
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0 current · 0 honors
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Influence
28/100
Top 52%
Momentum
39/100
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—/ 5
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5 lenses
About

Carlos Guestrin is a Computer Science scholar at Stanford University. Research spans Bayesian Modeling and Causal Inference, Energy Efficient Wireless Sensor Networks, Machine Learning and Algorithms. 234 works, 52k citations (h-index 74).

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Professor · Stanford University

Most-cited work

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