Construct · 1 fields · 1 citations

implicit bias of gradient descent: a standalone construct

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Computational learning theory

the tendency of gradient descent, with no explicit penalty, to converge toward a particular solution such as the max-margin separator among many that fit the data.

In computational learning theory, implicit bias of gradient descent refers to the tendency of gradient descent, with no explicit penalty, to converge toward a particular solution such as the max-margin separator among many that fit the data. This meaning comes from Soudry (2017) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

bias6 fields · 8 citationsjingle · one name, six constructs descent3 fields · 4 citationsjingle · one word, three constructs explicit1 fields · 1 citationsanchor · a standalone construct

References

Soudry, D., Hoffer, E., Nacson, M. S., Gunasekar, S., & Srebro, N. (2017). The Implicit Bias of Gradient Descent on Separable Data. arXiv. https://doi.org/10.48550/arxiv.1710.10345

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