Optimization

SimpleMKL JMLR 2008 Sparse Online Learning via Truncated Gradient NeurIPS 2008 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008 Sparsity of SVMs that use the epsilon-insensitive loss NeurIPS 2008 Spectral Clustering with Perturbed Data NeurIPS 2008 Supervised Exponential Family Principal Component Analysis via Convex Optimization NeurIPS 2008 Tighter Bounds for Structured Estimation NeurIPS 2008 Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008 A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007 A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NeurIPS 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 Adaptive Online Gradient Descent NeurIPS 2007 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 An Analysis of Convex Relaxations for MAP Estimation NeurIPS 2007 A New View of Automatic Relevance Determination NeurIPS 2007 An Implicit Time-Stepping Method for Multibody Systems with Intermittent Contact RSS 2007 Anytime Induction of Cost-sensitive Trees NeurIPS 2007 Anytime Learning of Decision Trees JMLR 2007 A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 A Risk Minimization Principle for a Class of Parzen Estimators NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007 A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent RSS 2007 A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections NeurIPS 2007 Better than least squares: comparison of objective functions for estimating linear-nonlinear models NeurIPS 2007