Optimization

Using the distribution theory to simultaneously calibrate the sensors of a mobile robot RSS 2009 Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 Adapting to a Market Shock: Optimal Sequential Market-Making NeurIPS 2008 Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NeurIPS 2008 A general framework for investigating how far the decoding process in the brain can be simplified NeurIPS 2008 Algorithms for Sparse Linear Classifiers in the Massive Data Setting JMLR 2008 A Massively Parallel Digital Learning Processor NeurIPS 2008 An Extended Level Method for Efficient Multiple Kernel Learning NeurIPS 2008 An Homotopy Algorithm for the Lasso with Online Observations NeurIPS 2008 An interior-point stochastic approximation method and an L1-regularized delta rule NeurIPS 2008 An Online Algorithm for Maximizing Submodular Functions NeurIPS 2008 Automatic online tuning for fast Gaussian summation NeurIPS 2008 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Biasing Approximate Dynamic Programming with a Lower Discount Factor NeurIPS 2008 Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008 Bounding Performance Loss in Approximate MDP Homomorphisms NeurIPS 2008 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008 Clustering via LP-based Stabilities NeurIPS 2008 Clusters and Coarse Partitions in LP Relaxations NeurIPS 2008 Consistency of Trace Norm Minimization JMLR 2008 Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines JMLR 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods JMLR 2008 Deflation Methods for Sparse PCA NeurIPS 2008