Papers
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen, Emmanuel Candes
Space-Time Local Embeddings
Ke Sun, Jun Wang, Alexandros Kalousis et al.
Sparse and Low-Rank Tensor Decomposition
Parikshit Shah, Nikhil Rao, Gongguo Tang
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh et al.
Sparse Local Embeddings for Extreme Multi-label Classification
Kush Bhatia, Himanshu Jain, Purushottam Kar et al.
Sparse PCA via Bipartite Matchings
Megasthenis Asteris, Dimitris Papailiopoulos, Anastasios Kyrillidis et al.
Spatial Transformer Networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman et al.
Spectral Learning of Large Structured HMMs for Comparative Epigenomics
Chicheng Zhang, Jimin Song, Kamalika Chaudhuri et al.
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
Rakesh Shivanna, Bibaswan K Chatterjee, Raman Sankaran et al.
Spectral Representations for Convolutional Neural Networks
Oren Rippel, Jasper Snoek, Ryan P. Adams
Spherical Random Features for Polynomial Kernels
Jeffrey Pennington, Felix Xinnan X Yu, Sanjiv Kumar
Statistical Model Criticism using Kernel Two Sample Tests
James R Lloyd, Zoubin Ghahramani
Statistical Topological Data Analysis - A Kernel Perspective
Roland Kwitt, Stefan Huber, Marc Niethammer et al.
Stochastic Expectation Propagation
Yingzhen Li, José Miguel Hernández-Lobato, Richard E Turner
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
Tian Lin, Jian Li, Wei Chen
StopWasting My Gradients: Practical SVRG
Reza Babanezhad Harikandeh, Mohamed Osama Ahmed, Alim Virani et al.
Streaming, Distributed Variational Inference for Bayesian Nonparametrics
Trevor Campbell, Julian Straub, John W. Fisher III et al.
Streaming Min-max Hypergraph Partitioning
Dan Alistarh, Jennifer Iglesias, Milan Vojnovic
Structured Estimation with Atomic Norms: General Bounds and Applications
Sheng Chen, Arindam Banerjee
Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani, Tara Sainath, Sanjiv Kumar
SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals
Qing Sun, Dhruv Batra
Submodular Hamming Metrics
Jennifer A Gillenwater, Rishabh K Iyer, Bethany Lusch et al.
Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP's
Vitaly Feldman, Will Perkins, Santosh Vempala
Subset Selection by Pareto Optimization
Chao Qian, Yang Yu, Zhi-Hua Zhou