Optimization

Matrix Completion with Noisy Side Information NeurIPS 2015 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets NeurIPS 2015 Maximum Margin Partial Label Learning ACML 2015 Maximum-Margin Structured Learning With Deep Networks for 3D Human Pose Estimation ICCV 2015 Maximum Persistency via Iterative Relaxed Inference With Graphical Models CVPR 2015 Max-Margin Majority Voting for Learning from Crowds NeurIPS 2015 M-Best-Diverse Labelings for Submodular Energies and Beyond NeurIPS 2015 Minimax Time Series Prediction NeurIPS 2015 Minimizing Nonconvex Non-Separable Functions AISTATS 2015 Model-Based Relative Entropy Stochastic Search NeurIPS 2015 Monotone k-Submodular Function Maximization with Size Constraints NeurIPS 2015 Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms NeurIPS 2015 Multi-Image Matching via Fast Alternating Minimization ICCV 2015 Multi-Kernel Correlation Filter for Visual Tracking ICCV 2015 Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NeurIPS 2015 Nearly Optimal Private LASSO NeurIPS 2015 Neural Adaptive Sequential Monte Carlo NeurIPS 2015 Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NeurIPS 2015 Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015 Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015 One-Day Outdoor Photometric Stereo via Skylight Estimation CVPR 2015 One-Pass Multi-View Learning ACML 2015 On Greedy Maximization of Entropy ICML 2015 Online F-Measure Optimization NeurIPS 2015