Mikael Møller Høgsgaard
PulseAugur coverage of Mikael Møller Høgsgaard — every cluster mentioning Mikael Møller Høgsgaard across labs, papers, and developer communities, ranked by signal.
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AdaBoost generalization error bound precisely characterized in new research
Researchers have established a tight generalization bound for the AdaBoost algorithm, detailing its error rate based on factors like weak learner advantage, VC-dimension, sample size, and confidence parameter. The paper…
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Aggregation with Exponential Weights estimator proven optimal in expectation
A new paper published on arXiv introduces the Aggregation with Exponential Weights (AEW) estimator, settling a long-standing open problem regarding its optimality in expectation for model selection aggregation with squa…
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New research explores interpolation and aggregation in regression
This research paper delves into the theoretical aspects of interpolation and aggregation within regression models. The authors introduce the concept of $\gamma$-graph dimension as a key factor for understanding learnabi…
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New Algorithm Achieves Optimal Sample Complexity for Linear Contracts
A new paper published on arXiv details an algorithm for learning optimal linear contracts from data. The Empirical Utility Maximization (EUM) algorithm can achieve an \(\\varepsilon\)-approximation of the best possible …