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Question 13 - HPE2-N69 discussion

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Compared to Asynchronous Successive Halving Algorithm (ASHA), what is an advantage of Adaptive ASHA?

A.
Adaptive ASHA can handle hyperparameters related to neural architecture while ASHA cannot.
Answers
A.
Adaptive ASHA can handle hyperparameters related to neural architecture while ASHA cannot.
B.
ASHA selects hyperparameter configs entirely at random while Adaptive ASHA clones higherperforming configs.
Answers
B.
ASHA selects hyperparameter configs entirely at random while Adaptive ASHA clones higherperforming configs.
C.
Adaptive ASHA can train more trials in certain amount of time, as compared to ASHA.
Answers
C.
Adaptive ASHA can train more trials in certain amount of time, as compared to ASHA.
D.
Adaptive ASHA tries multiple exploration/exploitation tradeoffs oy running multiple Instances of ASHA.
Answers
D.
Adaptive ASHA tries multiple exploration/exploitation tradeoffs oy running multiple Instances of ASHA.
Suggested answer: D
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asked 16/09/2024
Coleman Owie
39 questions
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