Theory

Reducing the Rank in Relational Factorization Models by Including Observable Patterns NeurIPS 2014 Rounding-based Moves for Metric Labeling NeurIPS 2014 Sensory Integration and Density Estimation NeurIPS 2014 SerialRank: Spectral Ranking using Seriation NeurIPS 2014 Simple MAP Inference via Low-Rank Relaxations NeurIPS 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Sparse Polynomial Learning and Graph Sketching NeurIPS 2014 Sparsity and the Truncated l^2-norm AISTATS 2014 Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity JMLR 2014 Spectral Methods for Supervised Topic Models NeurIPS 2014 Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting ICML 2014 The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014 The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014 To go deep or wide in learning? AISTATS 2014 Universal Matrix Completion ICML 2014 A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems CVPR 2013 A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach ICCV 2013 Algorithms and Hardness Results for Parallel Large Margin Learning JMLR 2013 A memory frontier for complex synapses NeurIPS 2013 An Enhanced Structure-from-Motion Paradigm Based on the Absolute Dual Quadric and Images of Circular Points ICCV 2013 Approachability, fast and slow COLT 2013 Approximate inference in latent Gaussian-Markov models from continuous time observations NeurIPS 2013 Approximation properties of DBNs with binary hidden units and real-valued visible units ICML 2013 A Practical Algorithm for Topic Modeling with Provable Guarantees ICML 2013 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013