Mathematics & Optimization

Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013 Distributed Exploration in Multi-Armed Bandits NeurIPS 2013 Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NeurIPS 2013 Distributions of Angles in Random Packing on Spheres JMLR 2013 Divide and Conquer Kernel Ridge Regression COLT 2013 DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes AISTATS 2013 Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013 Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013 Dynamical Models and tracking regret in online convex programming ICML 2013 Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013 Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry CVPR 2013 Efficient and Robust Large-Scale Rotation Averaging ICCV 2013 Efficient Dimensionality Reduction for Canonical Correlation Analysis ICML 2013 Efficient Higher-Order Clustering on the Grassmann Manifold ICCV 2013 Efficient Learning of Simplices COLT 2013 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013 Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013 Elastic Net Constraints for Shape Matching ICCV 2013 Embed and Project: Discrete Sampling with Universal Hashing NeurIPS 2013 Enhanced Continuous Tabu Search for Parameter Estimation in Multiview Geometry ICCV 2013 Enhanced statistical rankings via targeted data collection ICML 2013 Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion NeurIPS 2013 Estimating LASSO Risk and Noise Level NeurIPS 2013 Estimating the Unseen: Improved Estimators for Entropy and other Properties NeurIPS 2013 Estimating Unknown Sparsity in Compressed Sensing ICML 2013