Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities

Yunwen Lei, Ke Tang

Feb-13-2026, 15:37:40 GMT–Neural Information Processing Systems

We apply the derived computational error bounds to study the generalization performance ofmulti-pass stochastic gradient descent (SGD) ina non-parametric setting.

artificial intelligence, assumption, machine learning, (16 more...)

Neural Information Processing Systems

Feb-13-2026, 15:37:40 GMT

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Country:
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Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Gradient Descent (0.55)

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Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
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