Optimization

Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015 Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing NeurIPS 2015 Efficient and Accurate Approximations of Nonlinear Convolutional Networks CVPR 2015 Efficient Compressive Phase Retrieval with Constrained Sensing Vectors NeurIPS 2015 Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NeurIPS 2015 Efficient Non-greedy Optimization of Decision Trees NeurIPS 2015 Efficient Output Kernel Learning for Multiple Tasks NeurIPS 2015 Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification ICCV 2015 Efficient SDP Inference for Fully-Connected CRFs Based on Low-Rank Decomposition CVPR 2015 Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015 Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015 Elastic-Net Regularization of Singular Values for Robust Subspace Learning CVPR 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015 Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NeurIPS 2015 End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression CVPR 2015 Entropy-Based Latent Structured Output Prediction ICCV 2015 Entropy Minimization for Convex Relaxation Approaches ICCV 2015 Equilibrated adaptive learning rates for non-convex optimization NeurIPS 2015 Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015 Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions COLT 2015 Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach NeurIPS 2015 Evolving GPU Machine Code JMLR 2015 Exactness of Approximate MAP Inference in Continuous MRFs NeurIPS 2015 Face Flow ICCV 2015 FaLRR: A Fast Low Rank Representation Solver CVPR 2015