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Optimization

14207 directly classified papers

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Papers

Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Structured Output Learning with High Order Loss Functions AISTATS 2012
Regularization Techniques for Learning with Matrices JMLR 2012
Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications JMLR 2012
Structured Sparsity via Alternating Direction Methods JMLR 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Time-Optimal Trajectory Generation for Path Following with Bounded Acceleration and Velocity RSS 2012
Extrinsic Calibration from Per-Sensor Egomotion RSS 2012
Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing RSS 2012
Contextual Sequence Prediction with Application to Control Library Optimization RSS 2012
Estimating Human Dynamics On-the-fly Using Monocular Video For Pose Estimation RSS 2012
A General Framework for Structured Sparsity via Proximal Optimization AISTATS 2012
A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012
Sampling Methods for the Nyström Method JMLR 2012
A Primal-Dual Convergence Analysis of Boosting JMLR 2012
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
Differentially Private Online Learning COLT 2012
Perturbation based Large Margin Approach for Ranking AISTATS 2012
Smoothing Multivariate Performance Measures JMLR 2012
Multi Kernel Learning with Online-Batch Optimization JMLR 2012
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012
Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012
Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012
Online Submodular Minimization JMLR 2012