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Training Deep Networks as Random Effects: An Optimization–Inference Duality episode artwork

Jun 4, 2026 21 min

Training Deep Networks as Random Effects: An Optimization–Inference Duality

from Embodied AI 101 Hosted by Shaoqing Tan

Explores training dynamics of deep neural networks through a statistical lens, examining the duality between optimization and inference perspectives.

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Training Deep Networks as Random Effects: An Optimization–Inference Duality

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This episode was published on June 4, 2026.

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