Mathematics & Optimization

Spectral Clustering via the Power Method - Provably ICML 2015 Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method AISTATS 2015 Spectral Learning of Large Structured HMMs for Comparative Epigenomics NeurIPS 2015 Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NeurIPS 2015 Spectral Representations for Convolutional Neural Networks NeurIPS 2015 Spherical Embedding of Inlier Silhouette Dissimilarities CVPR 2015 Spherical Random Features for Polynomial Kernels NeurIPS 2015 SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs ICCV 2015 Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares ICML 2015 Statistical Inference Models for Image Datasets With Systematic Variations CVPR 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Statistical Topological Data Analysis - A Kernel Perspective NeurIPS 2015 Statistical Topological Data Analysis using Persistence Landscapes JMLR 2015 Stay on path: PCA along graph paths ICML 2015 Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery COLT 2015 Stochastic Dual Coordinate Ascent with Adaptive Probabilities ICML 2015 Stochastic Online Greedy Learning with Semi-bandit Feedbacks NeurIPS 2015 Stochastic Optimization with Importance Sampling for Regularized Loss Minimization ICML 2015 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Streaming Min-max Hypergraph Partitioning NeurIPS 2015 Streaming Sparse Principal Component Analysis ICML 2015 Strong Consistency of the Prototype Based Clustering in Probabilistic Space JMLR 2015 Strongly Adaptive Online Learning ICML 2015 Structured Estimation with Atomic Norms: General Bounds and Applications NeurIPS 2015