Optimization

QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Randomized Max-Margin Compositions for Visual Recognition CVPR 2014 Randomized Nonlinear Component Analysis ICML 2014 Reconstructing Evolving Tree Structures in Time Lapse Sequences CVPR 2014 Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos CVPR 2014 Recovery of Coherent Data via Low-Rank Dictionary Pursuit NeurIPS 2014 Remote Heart Rate Measurement From Face Videos Under Realistic Situations CVPR 2014 Repeated Contextual Auctions with Strategic Buyers NeurIPS 2014 Reputation-based Worker Filtering in Crowdsourcing NeurIPS 2014 Robust and Agile 3D Biped Walking With Steering Capability Using a Footstep Predictive Approach RSS 2014 Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014 Robust Classification Under Sample Selection Bias NeurIPS 2014 Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014 Robust Estimation of 3D Human Poses from a Single Image CVPR 2014 Robust Logistic Regression and Classification NeurIPS 2014 Robust Separation of Reflection from Multiple Images CVPR 2014 Rounding-based Moves for Metric Labeling NeurIPS 2014 Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014 SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NeurIPS 2014 Saliency Optimization from Robust Background Detection CVPR 2014 Sample-based approximate regularization ICML 2014 Scalable Inference for Neuronal Connectivity from Calcium Imaging NeurIPS 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NeurIPS 2014 Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NeurIPS 2014