Papers
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
Edoardo M. Airoldi, Thiago B Costa, Stanley H Chan
Stochastic blockmodeling of relational event dynamics
Christopher DuBois, Carter Butts, Padhraic Smyth
Stochastic Convex Optimization with Multiple Objectives
Mehrdad Mahdavi, Tianbao Yang, Rong Jin
Stochastic Deconvolution
James Gregson, Felix Heide, Matthias B. Hullin et al.
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz, Tong Zhang
Stochastic Forecasts Achieve High Throughput and Low Delay over Cellular Networks
Keith Winstein, Anirudh Sivaraman, Hari Balakrishnan
2013
NSDI
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex
Sam Patterson, Yee Whye Teh
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
Daniel Tarlow, Kevin Swersky, Laurent Charlin et al.
Stochastic Optimization of PCA with Capped MSG
Raman Arora, Andy Cotter, Nati Srebro
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs
Yann Dauphin, Yoshua Bengio
Stochastic Simultaneous Optimistic Optimization
Michal Valko, Alexandra Carpentier, Rémi Munos
Stochastic Variational Inference
Matthew D. Hoffman, David M. Blei, Chong Wang et al.
Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing
David Mareček, Milan Straka
Story-Driven Summarization for Egocentric Video
Zheng Lu, Kristen Grauman
Strategic Interactions among Agents with Bounded Rationality
Pablo Hernandez-Leal, Enrique Munoz de Cote, L. Enrique Sucar
Streaming Variational Bayes
Tamara Broderick, Nicholas Boyd, Andre Wibisono et al.
Street View Motion-from-Structure-from-Motion
Bryan Klingner, David Martin, James Roseborough
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing
Lisha Chen, Andreas Buja
Strong Appearance and Expressive Spatial Models for Human Pose Estimation
Leonid Pishchulin, Mykhaylo Andriluka, Peter Gehler et al.
Stronger Semantics for Low-Latency Geo-Replicated Storage
Wyatt Lloyd, Michael J. Freedman, Michael Kaminsky et al.
2013
NSDI
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables
Nevena Lazic, Christopher Bishop, John Winn
Structure Cognizant Pseudo Relevance Feedback
Arjun Atreya V, Yogesh Kakde, Pushpak Bhattacharyya et al.