Papers
Risk-Aversion in Multi-armed Bandits
Amir Sani, Alessandro Lazaric, Rémi Munos
Robustness and risk-sensitivity in Markov decision processes
Takayuki Osogami
Scalable imputation of genetic data with a discrete fragmentation-coagulation process
Lloyd Elliott, Yee W. Teh
Scalable Inference of Overlapping Communities
Prem Gopalan, Sean Gerrish, Michael Freedman et al.
Scaled Gradients on Grassmann Manifolds for Matrix Completion
Thanh Ngo, Yousef Saad
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
Stephen Bach, Matthias Broecheler, Lise Getoor et al.
Searching for objects driven by context
Bogdan Alexe, Nicolas Heess, Yee W. Teh et al.
Selecting Diverse Features via Spectral Regularization
Abhimanyu Das, Anirban Dasgupta, Ravi Kumar
Selective Labeling via Error Bound Minimization
Quanquan Gu, Tong Zhang, Jiawei Han et al.
Semantic Kernel Forests from Multiple Taxonomies
Sung Ju Hwang, Kristen Grauman, Fei Sha
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
Jinfeng Yi, Rong Jin, Shaili Jain et al.
Semiparametric Principal Component Analysis
Fang Han, Han Liu
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.
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
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation
Tuo Zhao, Kathryn Roeder, Han Liu
Sparse Approximate Manifolds for Differential Geometric MCMC
Ben Calderhead, Mátyás A. Sustik
Sparse Prediction with the $k$-Support Norm
Andreas Argyriou, Rina Foygel, Nathan Srebro
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
Borja Balle, Mehryar Mohri