Mathematics & Optimization

Convex Optimization Procedure for Clustering: Theoretical Revisit NeurIPS 2014 Convex Total Least Squares ICML 2014 Convex vs Non-Convex Estimators for Regression and Sparse Estimation: the Mean Squared Error Properties of ARD and GLasso JMLR 2014 Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014 Coresets for k-Segmentation of Streaming Data NeurIPS 2014 Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014 Covariance shrinkage for autocorrelated data NeurIPS 2014 Cross-Scale Cost Aggregation for Stereo Matching CVPR 2014 Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning CVPR 2014 Deblurring Text Images via L0-Regularized Intensity and Gradient Prior CVPR 2014 Decorrelated Vectorial Total Variation CVPR 2014 Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields CVPR 2014 Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NeurIPS 2014 Demystifying Information-Theoretic Clustering ICML 2014 Density-preserving quantization with application to graph downsampling COLT 2014 Depth Enhancement via Low-rank Matrix Completion CVPR 2014 Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014 Deterministic Symmetric Positive Semidefinite Matrix Completion NeurIPS 2014 DFacTo: Distributed Factorization of Tensors NeurIPS 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014 Discovering Latent Network Structure in Point Process Data ICML 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Discovering Structure in High-Dimensional Data Through Correlation Explanation NeurIPS 2014 Discrete-Continuous Depth Estimation from a Single Image CVPR 2014