Optimization

Edge-aware Gradient Domain Optimization Framework for Image Filtering by Local Propagation CVPR 2014 Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014 Efficient Computation of Relative Pose for Multi-Camera Systems CVPR 2014 Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014 Efficient Label Propagation ICML 2014 Efficient Learning of Mahalanobis Metrics for Ranking ICML 2014 Efficient Lifting of MAP LP Relaxations Using k-Locality AISTATS 2014 Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014 Efficient Minimax Strategies for Square Loss Games NeurIPS 2014 Efficient Optimization for Average Precision SVM NeurIPS 2014 Efficient Sampling for Learning Sparse Additive Models in High Dimensions NeurIPS 2014 Efficient Structured Matrix Rank Minimization NeurIPS 2014 Efficient Transfer Learning Method for Automatic Hyperparameter Tuning AISTATS 2014 Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters CVPR 2014 Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NeurIPS 2014 Ensemble Methods for Structured Prediction ICML 2014 Estimation with Norm Regularization NeurIPS 2014 Event Detection using Multi-Level Relevance Labels and Multiple Features CVPR 2014 Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm NeurIPS 2014 Expectation-Maximization for Learning Determinantal Point Processes NeurIPS 2014 Exploiting easy data in online optimization NeurIPS 2014 Extremal Mechanisms for Local Differential Privacy NeurIPS 2014 Fairness in Multi-Agent Sequential Decision-Making NeurIPS 2014 Fantope Regularization in Metric Learning CVPR 2014 Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models CVPR 2014