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- Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively Wenhao Zhang, Si Wu
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- Scalable kernels for graphs with continuous attributes Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten Borgwardt
- Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? Qiang Liu, Alex Ihler, Mark Steyvers
- Sensor Selection in High-Dimensional Gaussian Trees with Nuisances Daniel S. Levine, Jonathan P. How
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- Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Marco Cuturi
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- Solving the multi-way matching problem by permutation synchronization Deepti Pachauri, Risi Kondor, Vikas Singh
- Sparse Additive Text Models with Low Rank Background Lei Shi
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- Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis Nikhil Rao, Christopher Cox, Rob Nowak, Timothy T. Rogers
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- Spectral methods for neural characterization using generalized quadratic models Il M. Park, Evan W. Archer, Nicholas Priebe, Jonathan Pillow
- Speeding up Permutation Testing in Neuroimaging Chris Hinrichs, Vamsi Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh
- Speedup Matrix Completion with Side Information: Application to Multi-Label Learning Miao Xu, Rong Jin, Zhi-Hua Zhou
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- Statistical Active Learning Algorithms Maria-Florina Balcan, Vitaly Feldman
- Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators Michel Besserve, Nikos K. Logothetis, Bernhard Schölkopf
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- Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints Rishabh K. Iyer, Jeff A. Bilmes
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- Using multiple samples to learn mixture models Jason Lee, Ran Gilad-Bachrach, Rich Caruana
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