Optimization

The Neural Costs of Optimal Control NeurIPS 2010 Throttling Poisson Processes NeurIPS 2010 t-logistic regression NeurIPS 2010 Topology Selection in Graphical Models of Autoregressive Processes JMLR 2010 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010 Transduction with Matrix Completion: Three Birds with One Stone NeurIPS 2010 Tree Decomposition for Large-Scale SVM Problems JMLR 2010 Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NeurIPS 2009 Accelerated Gradient Methods for Stochastic Optimization and Online Learning NeurIPS 2009 Adaptive Design Optimization in Experiments with People NeurIPS 2009 Adaptive Regularization for Transductive Support Vector Machine NeurIPS 2009 Adaptive Regularization of Weight Vectors NeurIPS 2009 A Data-Driven Approach to Modeling Choice NeurIPS 2009 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 A Gaussian Tree Approximation for Integer Least-Squares NeurIPS 2009 An Ab-initio tree-based exploration to enhance sampling of low-energy protein conformations RSS 2009 Analysis of SVM with Indefinite Kernels NeurIPS 2009 An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009 An Integer Projected Fixed Point Method for Graph Matching and MAP Inference NeurIPS 2009 An LP View of the M-best MAP problem NeurIPS 2009 A Parameter-free Hedging Algorithm NeurIPS 2009 Approximating displacement with the body velocity integral RSS 2009 Approximating MAP by Compensating for Structural Relaxations NeurIPS 2009