Papers
Sparse Metric Learning via Smooth Optimization
Yiming Ying, Kaizhu Huang, Colin Campbell
Sparsistent Learning of Varying-coefficient Models with Structural Changes
Mladen Kolar, Le Song, Eric P. Xing
Spatial Normalized Gamma Processes
Vinayak Rao, Yee W. Teh
Speaker Comparison with Inner Product Discriminant Functions
Zahi Karam, Douglas Sturim, William M. Campbell
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
Boaz Nadler, Nathan Srebro, Xueyuan Zhou
Statistical Consistency of Top-k Ranking
Fen Xia, Tie-yan Liu, Hang Li
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
Ruben Coen-cagli, Peter Dayan, Odelia Schwartz
STDP enables spiking neurons to detect hidden causes of their inputs
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
Strategy Grafting in Extensive Games
Kevin Waugh, Nolan Bard, Michael Bowling
Streaming k-means approximation
Nir Ailon, Ragesh Jaiswal, Claire Monteleoni
Streaming Pointwise Mutual Information
Benjamin V. Durme, Ashwin Lall
Structural inference affects depth perception in the context of potential occlusion
Ian Stevenson, Konrad Koerding
Structured output regression for detection with partial truncation
Andrea Vedaldi, Andrew Zisserman
Subject independent EEG-based BCI decoding
Siamac Fazli, Cristian Grozea, Marton Danoczy et al.
Submanifold density estimation
Arkadas Ozakin, Alexander G. Gray
Submodularity Cuts and Applications
Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda et al.
The Infinite Partially Observable Markov Decision Process
Finale Doshi-velez
The Ordered Residual Kernel for Robust Motion Subspace Clustering
Tat-jun Chin, Hanzi Wang, David Suter
The 'tree-dependent components' of natural scenes are edge filters
Daniel Zoran, Yair Weiss
The Wisdom of Crowds in the Recollection of Order Information
Mark Steyvers, Brent Miller, Pernille Hemmer et al.
Time-Varying Dynamic Bayesian Networks
Le Song, Mladen Kolar, Eric P. Xing