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Optimization

14,983 papers

Papers per year

18
112
342
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Papers

A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression JMLR 2010
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models JMLR 2010
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010
Learning Translation Invariant Kernels for Classification JMLR 2010
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010
Quadratic Programming Feature Selection JMLR 2010
Consensus-Based Distributed Support Vector Machines JMLR 2010
Model-based Boosting 2.0 JMLR 2010
Spectral Regularization Algorithms for Learning Large Incomplete Matrices JMLR 2010
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization JMLR 2010
Topology Selection in Graphical Models of Autoregressive Processes JMLR 2010
Tree Decomposition for Large-Scale SVM Problems JMLR 2010
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification JMLR 2010
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes JMLR 2010
A Non-invasive Real-Time Method for Measuring Variable Stiffness RSS 2010
Multi-Priority Cartesian Impedance Control RSS 2010
Stochastic Complementarity for Local Control of Discontinuous Dynamics RSS 2010
Distributed Optimization with Pairwise Constraints and its Application to Multi-robot Path Planning RSS 2010
Sensor Placement for Improved Robotic Navigation RSS 2010
DUOL: A Double Updating Approach for Online Learning NIPS 2009
Positive Semidefinite Metric Learning with Boosting NIPS 2009
Directed Regression NIPS 2009
Nonparametric Greedy Algorithms for the Sparse Learning Problem NIPS 2009
Potential-Based Agnostic Boosting NIPS 2009
Sensitivity analysis in HMMs with application to likelihood maximization NIPS 2009