Mathematics & Optimization

Convolutional spike-triggered covariance analysis for neural subunit models NeurIPS 2015 Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015 Copeland Dueling Bandits NeurIPS 2015 Correlation Clustering with Noisy Partial Information COLT 2015 Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2015 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NeurIPS 2015 CUR Algorithm for Partially Observed Matrices ICML 2015 Data-Driven Topological Motion Planning with Persistent Cohomology RSS 2015 Data modeling with the elliptical gamma distribution AISTATS 2015 Dealing with small data: On the generalization of context trees ICML 2015 Decomposition Bounds for Marginal MAP NeurIPS 2015 Deep learning with Elastic Averaging SGD NeurIPS 2015 Depth From Focus With Your Mobile Phone CVPR 2015 Depth Image Enhancement Using Local Tangent Plane Approximations CVPR 2015 Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution ICCV 2015 Depth Recovery From Light Field Using Focal Stack Symmetry ICCV 2015 Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression JMLR 2015 Deterministic Independent Component Analysis ICML 2015 Differentially Private Learning of Structured Discrete Distributions NeurIPS 2015 Dimensionality estimation without distances AISTATS 2015 Direct Structure Estimation for 3D Reconstruction CVPR 2015 DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015 Discrete Hyper-Graph Matching CVPR 2015 Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction CVPR 2015 Discrete Rényi Classifiers NeurIPS 2015