Papers
Sparse Bayesian structure learning with “dependent relevance determination” priors
Anqi Wu, Mijung Park, Oluwasanmi O Koyejo et al.
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus
Vinny Davies, Richard Reeve, William Harvey et al.
Sparse binary zero-sum games
David Auger, Jianlin Liu, Sylkvie Ruette et al.
Sparse Dictionary Learning for Edit Propagation of High-Resolution Images
Xiaowu Chen, Dongqing Zou, Jianwei Li et al.
Sparse Factor Analysis for Learning and Content Analytics
Andrew S. Lan, Andrew E. Waters, Christoph Studer et al.
Sparse meta-Gaussian information bottleneck
Melani Rey, Volker Roth, Thomas Fuchs
Sparse Multi-Task Reinforcement Learning
Daniele Calandriello, Alessandro Lazaric, Marcello Restelli
Sparse PCA via Covariance Thresholding
Yash Deshpande, Andrea Montanari
Sparse PCA with Oracle Property
Quanquan Gu, Zhaoran Wang, Han Liu
Sparse Polynomial Learning and Graph Sketching
Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G Dimakis et al.
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
Ian En-Hsu Yen, Ting-Wei Lin, Shou-De Lin et al.
Sparser, Better, Faster GPU Parsing
David Hall, Taylor Berg-Kirkpatrick, Dan Klein
Sparse Reinforcement Learning via Convex Optimization
Zhiwei Qin, Weichang Li, Firdaus Janoos
Sparse Space-Time Deconvolution for Calcium Image Analysis
Ferran Diego Andilla, Fred A. Hamprecht
Sparsity and the Truncated $l^2$-norm
Lee Dicker
Sparsity on Statistical Simplexes and Diversity in Social Ranking
Ke Sun, Hisham Mohamed, Stephane Marchand-Maillet
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
Cristina Savin, Sophie Denève
Special Techniques for Constituent Parsing of Morphologically Rich Languages
Zsolt Szántó, Richárd Farkas
Spectral Bandits for Smooth Graph Functions
Michal Valko, Remi Munos, Branislav Kveton et al.
Spectral Clustering of graphs with the Bethe Hessian
Alaa Saade, Florent Krzakala, Lenka Zdeborová
Spectral Clustering with Jensen-type Kernels and their Multi-point Extensions
Debarghya Ghoshdastidar, Ambedkar Dukkipati, Ajay P. Adsul et al.
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation
Fabio Galasso, Margret Keuper, Thomas Brox et al.
Spectral k-Support Norm Regularization
Andrew M McDonald, Massimiliano Pontil, Dimitris Stamos
Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity
Shay B. Cohen, Karl Stratos, Michael Collins et al.
Spectral Learning of Mixture of Hidden Markov Models
Cem Subakan, Johannes Traa, Paris Smaragdis