Optimization

Online Gradient Boosting NeurIPS 2015 On-Line Learning Algorithms for Path Experts with Non-Additive Losses COLT 2015 Online Learning for Adversaries with Memory: Price of Past Mistakes NeurIPS 2015 Online PCA with Spectral Bounds COLT 2015 Online Planning for Autonomous Running Jumps Over Obstacles in High-Speed Quadrupeds RSS 2015 Online Tensor Methods for Learning Latent Variable Models JMLR 2015 On Symmetric and Asymmetric LSHs for Inner Product Search ICML 2015 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015 On the Equivalence of Moving Entrance Pupil and Radial Distortion for Camera Calibration ICCV 2015 On the Global Linear Convergence of Frank-Wolfe Optimization Variants NeurIPS 2015 On the Inductive Bias of Dropout JMLR 2015 On the Optimality of Classifier Chain for Multi-label Classification NeurIPS 2015 On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NeurIPS 2015 Open Problem: The Oracle Complexity of Smooth Convex Optimization in Nonstandard Settings COLT 2015 Optimal Robust Control for Bipedal Robots through Control Lyapunov Function based Quadratic Programs RSS 2015 Optimizing Expected Intersection-Over-Union With Candidate-Constrained CRFs ICCV 2015 Optimizing Non-decomposable Performance Measures: A Tale of Two Classes ICML 2015 Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs ICML 2015 Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015 Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015 Parsimonious Labeling ICCV 2015 PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015 Path-SGD: Path-Normalized Optimization in Deep Neural Networks NeurIPS 2015 PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data ICML 2015 Person Count Localization in Videos From Noisy Foreground and Detections CVPR 2015