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Optimization

14207 directly classified papers

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Papers

Bundle Methods for Machine Learning NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
Discriminative Batch Mode Active Learning NIPS 2007
The Tradeoffs of Large Scale Learning NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NIPS 2007
Anytime Induction of Cost-sensitive Trees NIPS 2007
Random Sampling of States in Dynamic Programming NIPS 2007
Computing Robust Counter-Strategies NIPS 2007
Topmoumoute Online Natural Gradient Algorithm NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007
An Analysis of Convex Relaxations for MAP Estimation NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
Compressed Regression NIPS 2007
Stable Dual Dynamic Programming NIPS 2007
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NIPS 2007
Convex Relaxations of Latent Variable Training NIPS 2007
Convex Learning with Invariances NIPS 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Adaptive Online Gradient Descent NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Hierarchical Penalization NIPS 2007
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007