Optimization

Cone-Constrained Principal Component Analysis NeurIPS 2014 Consistent Binary Classification with Generalized Performance Metrics NeurIPS 2014 Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NeurIPS 2014 Constrained convex minimization via model-based excessive gap NeurIPS 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014 Convex Optimization Procedure for Clustering: Theoretical Revisit NeurIPS 2014 Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014 Coresets for k-Segmentation of Streaming Data NeurIPS 2014 Deblurring Text Images via L0-Regularized Intensity and Gradient Prior CVPR 2014 Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain NeurIPS 2014 Decoupled Variational Gaussian Inference NeurIPS 2014 Deformable Object Matching via Deformation Decomposition based 2D Label MRF CVPR 2014 Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NeurIPS 2014 Depth Enhancement via Low-rank Matrix Completion CVPR 2014 Deterministic Policy Gradient Algorithms ICML 2014 Deterministic Symmetric Positive Semidefinite Matrix Completion NeurIPS 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Discrete Chebyshev Classifiers ICML 2014 Discrete-Continuous Depth Estimation from a Single Image CVPR 2014 Discrete Graph Hashing NeurIPS 2014 Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014 Distributed optimization of deeply nested systems AISTATS 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014 Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014