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Papers (including subtopics)

Spherical Random Features for Polynomial Kernels NeurIPS 2015 State Space Methods for Efficient Inference in Student-t Process Regression AISTATS 2015 Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares ICML 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Statistical Topological Data Analysis - A Kernel Perspective NeurIPS 2015 Statistical Unfolded Logic Learning ACML 2015 Stay on path: PCA along graph paths ICML 2015 Stochastic Block Transition Models for Dynamic Networks AISTATS 2015 Stochastic Optimization with Importance Sampling for Regularized Loss Minimization ICML 2015 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015 Streaming Min-max Hypergraph Partitioning NeurIPS 2015 Streaming Sparse Principal Component Analysis ICML 2015 Streaming Variational Inference for Bayesian Nonparametric Mixture Models AISTATS 2015 Strong Consistency of the Prototype Based Clustering in Probabilistic Space JMLR 2015 Structural Kernel Learning for Large Scale Multiclass Object Co-Detection ICCV 2015 Structural Maxent Models ICML 2015 Structural Sparse Tracking CVPR 2015 Structured Feature Selection ICCV 2015 Structured Sparse Subspace Clustering: A Unified Optimization Framework CVPR 2015 Subgraph Decomposition for Multi-Target Tracking CVPR 2015 Submodular Hamming Metrics NeurIPS 2015 Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's NeurIPS 2015 Subsampling Methods for Persistent Homology ICML 2015 Subset Selection by Pareto Optimization NeurIPS 2015 Subspace Clustering by Mixture of Gaussian Regression CVPR 2015