Searching for "Correction to "The Importance of Convexity in Learning With Squared Loss"." – sorted by Relevance.
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The Importance of Convexity in Learning with Squared Loss
- The Importance of Convexity in Learning with Squared Loss Wee Sun Lee Peter L. Bartlett y
- Cited by 28 (6 self) – Add To MetaCart
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Abstract A Stagewise Least Square Loss Function for Classification ∗
- than classical least square loss; (ii) improved performance and robustness than convex loss (e
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Relative Loss Bounds for Temporal-Difference Learning
- Relative Loss Bounds for Temporal-Difference Learning Jurgen Forster forster
- Cited by 4 (0 self) – Add To MetaCart
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The Importance of the Loss Function in Option Pricing
- The Importance of the Loss Function in Option Pricing Peter Christo®ersen and Kris Jacobs ¤ Mc
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The Foldings of a Square to Convex Polyhedra
- The Foldings of a Square to Convex Polyhedra Rebecca Alexander, Heather Dyson, and Joseph O
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LEARNING THE KERNEL VIA CONVEX OPTIMIZATION
- regression are convex loss minimization problems. 1.2. Learning the kernel Let K be a convex set of positive
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Regularized Least-Squares Classification
- and regression techniques with the square loss in the field of supervised learning. They used pseudodifferential
- Cited by 22 (2 self) – Add To MetaCart
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Representation Theorem for Convex Nonparametric Least Squares
- Representation Theorem for Convex Nonparametric Least Squares Timo Kuosmanen * Economic Research
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Squared Euclidean distance.
- .9/?? Example of Algorithms Convex function Bregman divergence Algorithm Squared norm Squared Loss
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Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates
- Large margin classifiers: convex loss, low noise, and convergence rates Peter L. Bartlett, Michael
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