Foundations

Learning on graphs using Orthonormal Representation is Statistically Consistent NeurIPS 2014 Learning Shuffle Ideals Under Restricted Distributions NeurIPS 2014 Low Rank Approximation Lower Bounds in Row-Update Streams NeurIPS 2014 Multi Label Generic Cuts: Optimal Inference in Multi Label Multi Clique MRF-MAP Problems CVPR 2014 Multiscale Fields of Patterns NeurIPS 2014 Multi-Scale Spectral Decomposition of Massive Graphs NeurIPS 2014 Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NeurIPS 2014 Object Partitioning using Local Convexity CVPR 2014 On Projective Reconstruction In Arbitrary Dimensions CVPR 2014 On the Computational Efficiency of Training Neural Networks NeurIPS 2014 On the Convergence Rate of Decomposable Submodular Function Minimization NeurIPS 2014 Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014 Orientation Robust Text Line Detection in Natural Images CVPR 2014 Parallel Double Greedy Submodular Maximization NeurIPS 2014 Recovery of Coherent Data via Low-Rank Dictionary Pursuit NeurIPS 2014 SerialRank: Spectral Ranking using Seriation NeurIPS 2014 Sparse Polynomial Learning and Graph Sketching NeurIPS 2014 Spectral Clustering of graphs with the Bethe Hessian NeurIPS 2014 SPMF: A Java Open-Source Pattern Mining Library JMLR 2014 Stable and Informative Spectral Signatures for Graph Matching CVPR 2014 Stochastic Network Design in Bidirected Trees NeurIPS 2014 Streaming, Memory Limited Algorithms for Community Detection NeurIPS 2014 Surface-from-Gradients: An Approach Based on Discrete Geometry Processing CVPR 2014 Surface Registration by Optimization in Constrained Diffeomorphism Space CVPR 2014 The Large Margin Mechanism for Differentially Private Maximization NeurIPS 2014