Optimization

Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Boosting the Area under the ROC Curve NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007 Compressed Regression NeurIPS 2007 Computing Robust Counter-Strategies NeurIPS 2007 Concave Learners for Rankboost JMLR 2007 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Convex Learning with Invariances NeurIPS 2007 Convex Relaxations of Latent Variable Training NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007 Discriminative Batch Mode Active Learning NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 Efficient multiple hyperparameter learning for log-linear models NeurIPS 2007 Emergent Task Allocation for Mobile Robots RSS 2007 Ensemble Clustering using Semidefinite Programming NeurIPS 2007 Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NeurIPS 2007 Hierarchical Penalization NeurIPS 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Infinitely Imbalanced Logistic Regression JMLR 2007 Learning Monotonic Transformations for Classification NeurIPS 2007