Statistical Learning
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GeneralizationBoundsforStochasticGradient DescentviaLocalizedฮต-Covers
Neural Information Processing Systems
This result was later extended to discrete-time iterated function systems by [CDE+21].
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AScalableMIP-basedMethodforLearning OptimalMultivariateDecisionTrees
Neural Information Processing Systems
Our method is able to routinely handle large data-sets with more than 7,000 sample points and outperform heuristics methods and other MIP based techniques.
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