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Optimization

14,969 papers

Papers per year

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342
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Papers

Selecting Observations against Adversarial Objectives NIPS 2007
Progressive mixture rules are deviation suboptimal NIPS 2007
Hierarchical Penalization NIPS 2007
Linear programming analysis of loopy belief propagation for weighted matching NIPS 2007
Consistent Minimization of Clustering Objective Functions NIPS 2007
Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007
Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
Infinitely Imbalanced Logistic Regression JMLR 2007
Concave Learners for Rankboost JMLR 2007
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters JMLR 2007
Anytime Learning of Decision Trees JMLR 2007
Very Fast Online Learning of Highly Non Linear Problems JMLR 2007
A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007
Ranking the Best Instances JMLR 2007
Stagewise Lasso JMLR 2007
Emergent Task Allocation for Mobile Robots RSS 2007
A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent RSS 2007
Spatially-Adaptive Learning Rates for Online Incremental SLAM RSS 2007
An Implicit Time-Stepping Method for Multibody Systems with Intermittent Contact RSS 2007
Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
The Robustness-Performance Tradeoff in Markov Decision Processes NIPS 2006
Convex Repeated Games and Fenchel Duality NIPS 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006