Papers
Semi-Supervised Domain Adaptation with Non-Parametric Copulas
David Lopez-paz, Jose M. Hernández-lobato, Bernhard Schölkopf
Semi-supervised Eigenvectors for Locally-biased Learning
Toke Hansen, Michael W. Mahoney
Shifting Weights: Adapting Object Detectors from Image to Video
Kevin Tang, Vignesh Ramanathan, Li Fei-fei et al.
Sign Language Recognition using Sub-Units
Helen Cooper, Eng-Jon Ong, Nicolas Pugeault et al.
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression
Piyush Rai, Abhishek Kumar, Hal Daume
Sketch-Based Linear Value Function Approximation
Marc Bellemare, Joel Veness, Michael Bowling
Slice Normalized Dynamic Markov Logic Networks
Tivadar Papai, Henry Kautz, Daniel Stefankovic
Slice sampling normalized kernel-weighted completely random measure mixture models
Nicholas Foti, Sinead Williamson
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
Ke Jiang, Brian Kulis, Michael I. Jordan
Smoothing Multivariate Performance Measures
Xinhua Zhang, Ankan Saha, S.V.N. Vishwanathan
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation
Tuo Zhao, Kathryn Roeder, Han Liu
Sparse Additive Machine
Tuo Zhao, Han Liu
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan
Sparse Approximate Manifolds for Differential Geometric MCMC
Ben Calderhead, Mátyás A. Sustik
Sparse Higher-Order Principal Components Analysis
Genevera Allen
Sparse Prediction with the $k$-Support Norm
Andreas Argyriou, Rina Foygel, Nathan Srebro
Sparsistency of the Edge Lasso over Graphs
James Sharpnack, Aarti Singh, Alessandro Rinaldo
Spatial Locality-Aware Sparse Coding and Dictionary Learning
Jiang Wang, Junsong Yuan, Zhouyuan Chen et al.
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model
Kamalika Chaudhuri, Fan Chung, Alexander Tsiatas
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
Borja Balle, Mehryar Mohri
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
Lars Buesing, Jakob H. Macke, Maneesh Sahani
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
Alex Grubb, Drew Bagnell
Spiking and saturating dendrites differentially expand single neuron computation capacity
Romain Cazé, Mark Humphries, Boris S. Gutkin