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Optimization

14207 directly classified papers

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Papers

An Improved GLMNET for L1-regularized Logistic Regression JMLR 2012
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints JMLR 2012
Large-scale Linear Support Vector Regression JMLR 2012
Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality JMLR 2012
Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing JMLR 2012
Regularized Bundle Methods for Convex and Non-Convex Risks JMLR 2012
Training SVMs Without Offset JMLR 2011
Group Lasso Estimation of High-dimensional Covariance Matrices JMLR 2011
Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms JMLR 2011
Variable Sparsity Kernel Learning JMLR 2011
Semi-supervised Learning by Higher Order Regularization AISTATS 2011
Learning with Structured Sparsity JMLR 2011
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization JMLR 2011
Hyper-Sparse Optimal Aggregation JMLR 2011
A Serial Approach to Handling High-Dimensional Measurements in the Sigma-Point Kalman Filter RSS 2011
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm AISTATS 2011
A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems AISTATS 2011
Parameter Screening and Optimisation for ILP using Designed Experiments JMLR 2011
-Norm Multiple Kernel Learning JMLR 2011
Automatic Calibration of Multiple Coplanar Sensors RSS 2011
Differentially Private Empirical Risk Minimization JMLR 2011
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences COLT 2011
Faster Algorithms for Max-Product Message-Passing JMLR 2011
Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011
Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” AISTATS 2011