Mathematics

Cooperative Graphical Models NeurIPS 2016 Coordinate-wise Power Method NeurIPS 2016 Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated NeurIPS 2016 Cortical Computation via Iterative Constructions COLT 2016 Covariance-based Clustering in Multivariate and Functional Data Analysis JMLR 2016 Data driven estimation of Laplace-Beltrami operator NeurIPS 2016 Density Estimation via Discrepancy Based Adaptive Sequential Partition NeurIPS 2016 Dictionaries as Networks: Identifying the graph structure of Ogden’s Basic English COLING 2016 Differential Geometric Regularization for Supervised Learning of Classifiers ICML 2016 Disentrainment may be a Positive Thing: A Novel Measure of Unsigned Acoustic-Prosodic Synchrony, and its Relation to Speaker Engagement Interspeech 2016 Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis NeurIPS 2016 Edge-exchangeable graphs and sparsity NeurIPS 2016 Effects of Subglottal-Coupling and Interdental-Space on Formant Trajectories During Front-to-Back Vowel Transitions in Chinese Interspeech 2016 Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis ICML 2016 Efficient Bregman Projections onto the Permutahedron and Related Polytopes AISTATS 2016 Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information NeurIPS 2016 Efficient Intersection of Three Quadrics and Applications in Computer Vision CVPR 2016 Efficient Nonparametric Smoothness Estimation NeurIPS 2016 Efficient state-space modularization for planning: theory, behavioral and neural signatures NeurIPS 2016 Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold CVPR 2016 ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016 Estimating Maximum Expected Value through Gaussian Approximation ICML 2016 Estimating Mutual Information in Under-Reported Variables PGM 2016 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016 Evidence Evaluation: a Study of Likelihoods and Independence PGM 2016