Papers
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
Ian En-Hsu Yen, Ting-Wei Lin, Shou-De Lin et al.
Sparse Space-Time Deconvolution for Calcium Image Analysis
Ferran Diego Andilla, Fred A. Hamprecht
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
Cristina Savin, Sophie Denève
Spectral Clustering of graphs with the Bethe Hessian
Alaa Saade, Florent Krzakala, Lenka Zdeborová
Spectral k-Support Norm Regularization
Andrew M McDonald, Massimiliano Pontil, Dimitris Stamos
Spectral Learning of Mixture of Hidden Markov Models
Cem Subakan, Johannes Traa, Paris Smaragdis
Spectral Methods for Indian Buffet Process Inference
Hsiao-Yu Tung, Alexander J Smola
Spectral Methods for Supervised Topic Models
Yining Wang, Jun Zhu
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang, Xi Chen, Dengyong Zhou et al.
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks
Yuanyuan Mi, C. C. Alan Fung, K. Y. Michael Wong et al.
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
Deanna Needell, Rachel Ward, Nati Srebro
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards
Omar Besbes, Yonatan Gur, Assaf Zeevi
Stochastic Network Design in Bidirected Trees
xiaojian wu, Daniel R. Sheldon, Shlomo Zilberstein
Stochastic variational inference for hidden Markov models
Nicholas Foti, Jason Xu, Dillon Laird et al.
Streaming, Memory Limited Algorithms for Community Detection
Se-Young Yun, marc lelarge, Alexandre Proutiere
Structure learning of antiferromagnetic Ising models
Guy Bresler, David Gamarnik, Devavrat Shah
Submodular Attribute Selection for Action Recognition in Video
Jingjing Zheng, Zhuolin Jiang, Rama Chellappa et al.
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
Adarsh Prasad, Stefanie Jegelka, Dhruv Batra
Subspace Embeddings for the Polynomial Kernel
Haim Avron, Huy Nguyen, David Woodruff
Testing Unfaithful Gaussian Graphical Models
De Wen Soh, Sekhar C Tatikonda
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
Been Kim, Cynthia Rudin, Julie A Shah
The Blinded Bandit: Learning with Adaptive Feedback
Ofer Dekel, Elad Hazan, Tomer Koren
The Infinite Mixture of Infinite Gaussian Mixtures
Halid Z Yerebakan, Bartek Rajwa, Murat Dundar