Mathematics & Optimization

Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids CVPR 2016 Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces RSS 2016 Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing NeurIPS 2016 Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration JMLR 2016 Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case JMLR 2016 Gaussian quadrature for matrix inverse forms with applications ICML 2016 Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back NeurIPS 2016 Generalized Direct Change Estimation in Ising Model Structure ICML 2016 Generating Gestural Scores from Acoustics Through a Sparse Anchor-Based Representation of Speech Interspeech 2016 GenSVM: A Generalized Multiclass Support Vector Machine JMLR 2016 Geometric Swimming on a Granular Surface RSS 2016 Geometry-aware stationary subspace analysis ACML 2016 GIFT: A Real-Time and Scalable 3D Shape Search Engine CVPR 2016 Global Analysis of Expectation Maximization for Mixtures of Two Gaussians NeurIPS 2016 Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation AISTATS 2016 Globally Optimal Manhattan Frame Estimation in Real-Time CVPR 2016 Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach CVPR 2016 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 Global Optimality of Local Search for Low Rank Matrix Recovery NeurIPS 2016 GOGMA: Globally-Optimal Gaussian Mixture Alignment CVPR 2016 Graph Clustering: Block-models and model free results NeurIPS 2016 Graphons, mergeons, and so on! NeurIPS 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016 Gromov-Wasserstein Averaging of Kernel and Distance Matrices ICML 2016 Guaranteed Outlier Removal With Mixed Integer Linear Programs CVPR 2016