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Optimization

14,983 papers

Papers per year

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Papers

Sparse Activity and Sparse Connectivity in Supervised Learning JMLR 2013
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty JMLR 2013
Machine Learning with Operational Costs JMLR 2013
Message-Passing Algorithms for Quadratic Minimization JMLR 2013
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows JMLR 2013
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory JMLR 2013
Optimally Fuzzy Temporal Memory JMLR 2013
BudgetedSVM: A Toolbox for Scalable SVM Approximations JMLR 2013
A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013
Algorithms and Hardness Results for Parallel Large Margin Learning JMLR 2013
QuantMiner for Mining Quantitative Association Rules JMLR 2013
GURLS: A Least Squares Library for Supervised Learning JMLR 2013
Multivariate Convex Regression with Adaptive Partitioning JMLR 2013
Communication-Efficient Algorithms for Statistical Optimization JMLR 2013
Sparse Matrix Inversion with Scaled Lasso JMLR 2013
Classifier Selection using the Predicate Depth JMLR 2013
High Altitude Stereo Visual Odometry RSS 2013
Generating Legible Motion RSS 2013
Correct Software Synthesis for Stable Speed-Controlled Robotic Walking RSS 2013
Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics RSS 2013
Topology Constraints in Graphical Models NIPS 2012
Clustering Aggregation as Maximum-Weight Independent Set NIPS 2012
Selective Labeling via Error Bound Minimization NIPS 2012
Practical Bayesian Optimization of Machine Learning Algorithms NIPS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss NIPS 2012