convex optimization

Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression ICML 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 Locally-Linear Learning Machines (L3M) ACML 2013 Marginals-to-Models Reducibility NeurIPS 2013 Matrix Completion From any Given Set of Observations NeurIPS 2013 Mixed Optimization for Smooth Functions NeurIPS 2013 MODEC: Multimodal Decomposable Models for Human Pose Estimation CVPR 2013 (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NeurIPS 2013 Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NeurIPS 2013 Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NeurIPS 2013 On Decomposing the Proximal Map NeurIPS 2013 On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NeurIPS 2013 Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013 Optical Flow via Locally Adaptive Fusion of Complementary Data Costs ICCV 2013 Optimization, Learning, and Games with Predictable Sequences NeurIPS 2013 Polar Operators for Structured Sparse Estimation NeurIPS 2013 Provable Subspace Clustering: When LRR meets SSC NeurIPS 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 Quadruplet-Wise Image Similarity Learning ICCV 2013 Quantile Regression for Large-scale Applications ICML 2013 Reconciling "priors" & "priors" without prejudice? NeurIPS 2013 Relative Volume Constraints for Single View 3D Reconstruction CVPR 2013 Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization ICML 2013 Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences CVPR 2013