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Continuous Optimization

3907 directly classified papers

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Papers

Structured sparsity-inducing norms through submodular functions NIPS 2010
Decomposing Isotonic Regression for Efficiently Solving Large Problems NIPS 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010
Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials AISTATS 2010
Exclusive Lasso for Multi-task Feature Selection AISTATS 2010
Guaranteed Rank Minimization via Singular Value Projection NIPS 2010
Sparse Inverse Covariance Selection via Alternating Linearization Methods NIPS 2010
Random Conic Pursuit for Semidefinite Programming NIPS 2010
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups NIPS 2010
Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010
Fast detection of multiple change-points shared by many signals using group LARS NIPS 2010
Topology Selection in Graphical Models of Autoregressive Processes JMLR 2010
Bundle Methods for Regularized Risk Minimization JMLR 2010
Incremental Sampling-based Algorithms for Optimal Motion Planning RSS 2010
Efficient Algorithms for Conditional Independence Inference JMLR 2010
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes JMLR 2010
Classification Using Geometric Level Sets JMLR 2010
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models JMLR 2010
Generalized Power Method for Sparse Principal Component Analysis JMLR 2010
Design and Optimization Strategies for Muscle-Like Direct Drive Linear Permanent Magnet Motors RSS 2010
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization JMLR 2010
SFO: A Toolbox for Submodular Function Optimization JMLR 2010
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming JMLR 2010