Mathematics

Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014 Learning Mixtures of Ranking Models NeurIPS 2014 Learning Modular Structures from Network Data and Node Variables ICML 2014 Learning on graphs using Orthonormal Representation is Statistically Consistent NeurIPS 2014 Learning Shuffle Ideals Under Restricted Distributions NeurIPS 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NeurIPS 2014 Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014 Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014 Low Rank Approximation Lower Bounds in Row-Update Streams NeurIPS 2014 Low-Rank Spectral Learning AISTATS 2014 Low-Rank Time-Frequency Synthesis NeurIPS 2014 Manopt, a Matlab Toolbox for Optimization on Manifolds JMLR 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014 Maximum Persistency in Energy Minimization CVPR 2014 Measuring Distance Between Unordered Sets of Different Sizes CVPR 2014 Memory (and Time) Efficient Sequential Monte Carlo ICML 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials NeurIPS 2014 Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014 Minimax-optimal Inference from Partial Rankings NeurIPS 2014 Min-Max Problems on Factor Graphs ICML 2014 Mirror Symmetry Histograms for Capturing Geometric Properties in Images CVPR 2014 Mixed Graphical Models via Exponential Families AISTATS 2014