cost vector
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Generalization Bounds in the Predict-then-Optimize Framework
Othman El Balghiti, Adam Elmachtoub, Paul Grigas, Ambuj Tewari
Neural Information Processing Systems http://nips.cc/
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Gradient Descent (0.63)
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An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
Zhang at NeurIPS 2007 which was obtained for the stochastic case.
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Online Lazy Gradient Descent is Universal on Strongly Convex Domains
We study Online Lazy Gradient Descent for optimisation on a strongly convex domain.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Gradient Descent (0.63)
Online Linear Optimization with Many Hints
The algorithm's performance is measured via the regret relative to some comparison point
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