Continuous Optimization

Kinodynamic Planning in the Configuration Space via Admissible Velocity Propagation RSS 2013 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning Structured Low-Rank Representations for Image Classification CVPR 2013 Learning to Estimate and Remove Non-uniform Image Blur CVPR 2013 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NeurIPS 2013 Linear Convergence with Condition Number Independent Access of Full Gradients NeurIPS 2013 Linear decision rule as aspiration for simple decision heuristics NeurIPS 2013 Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning ACML 2013 Local Deep Kernel Learning for Efficient Non-linear SVM Prediction ICML 2013 Local Low-Rank Matrix Approximation ICML 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 Marginals-to-Models Reducibility NeurIPS 2013 Mean Reversion with a Variance Threshold ICML 2013 Minimax Optimal Algorithms for Unconstrained Linear Optimization NeurIPS 2013 Mixed Optimization for Smooth Functions NeurIPS 2013 Monocular Template-Based 3D Reconstruction of Extensible Surfaces with Local Linear Elasticity CVPR 2013 Multiclass Total Variation Clustering NeurIPS 2013 Non-convex P-Norm Projection for Robust Sparsity ICCV 2013 On Algorithms for Sparse Multi-factor NMF NeurIPS 2013 On Decomposing the Proximal Map NeurIPS 2013 Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013 Optical Flow Estimation Using Laplacian Mesh Energy CVPR 2013 Optimal Orthogonal Basis and Image Assimilation: Motion Modeling ICCV 2013 Optimal Probability Estimation with Applications to Prediction and Classification COLT 2013