Optimization

Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images CVPR 2014 Latent Dictionary Learning for Sparse Representation based Classification CVPR 2014 Learning Chordal Markov Networks by Dynamic Programming NeurIPS 2014 Learning convolution filters for inverse covariance estimation of neural network connectivity NeurIPS 2014 Learning Mixtures of Submodular Functions for Image Collection Summarization NeurIPS 2014 Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NeurIPS 2014 Learning Optimal Seeds for Diffusion-based Salient Object Detection CVPR 2014 Learning Sparsely Used Overcomplete Dictionaries COLT 2014 Learning Structured Models with the AUC Loss and Its Generalizations AISTATS 2014 Learning the Learning Rate for Prediction with Expert Advice NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Learning to Optimize via Information-Directed Sampling NeurIPS 2014 Learning to Search in Branch and Bound Algorithms NeurIPS 2014 Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014 lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014 Linear Ranking Analysis CVPR 2014 Linear Time Solver for Primal SVM ICML 2014 Local Linear Convergence of Forward--Backward under Partial Smoothness NeurIPS 2014 Local Readjustment for High-Resolution 3D Reconstruction CVPR 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014 Making Pairwise Binary Graphical Models Attractive NeurIPS 2014 Manhattan and Piecewise-Planar Constraints for Dense Monocular Mapping RSS 2014 Manopt, a Matlab Toolbox for Optimization on Manifolds JMLR 2014