Optimization

Decomposing Isotonic Regression for Efficiently Solving Large Problems NeurIPS 2010 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Linear Complementarity for Regularized Policy Evaluation and Improvement NeurIPS 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 Optimal Web-Scale Tiering as a Flow Problem NeurIPS 2010 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 Robust Clustering as Ensembles of Affinity Relations NeurIPS 2010 Adaptive Design Optimization in Experiments with People NeurIPS 2009 An Integer Projected Fixed Point Method for Graph Matching and MAP Inference NeurIPS 2009 A Smoothed Approximate Linear Program NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Information-theoretic lower bounds on the oracle complexity of convex optimization NeurIPS 2009 Lattice Regression NeurIPS 2009 Learning Non-Linear Combinations of Kernels NeurIPS 2009 Low-Rank Kernel Learning with Bregman Matrix Divergences JMLR 2009 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009 On the Convergence of the Concave-Convex Procedure NeurIPS 2009 An Extended Level Method for Efficient Multiple Kernel Learning NeurIPS 2008 An Homotopy Algorithm for the Lasso with Online Observations NeurIPS 2008 Biasing Approximate Dynamic Programming with a Lower Discount Factor NeurIPS 2008 Clustering via LP-based Stabilities NeurIPS 2008 Deflation Methods for Sparse PCA NeurIPS 2008 MAS: a multiplicative approximation scheme for probabilistic inference NeurIPS 2008 Optimization on a Budget: A Reinforcement Learning Approach NeurIPS 2008