Papers
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning
Miao Xu, Rong Jin, Zhi-Hua Zhou
Spike train entropy-rate estimation using hierarchical Dirichlet process priors
Karin C Knudson, Jonathan W Pillow
Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing
Amir Sadovnik, Andrew Gallagher, Devi Parikh et al.
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning
Gang Niu, Wittawat Jitkrittum, Bo Dai et al.
Stability and Hypothesis Transfer Learning
Ilja Kuzborskij, Francesco Orabona
Stability of Multi-Task Kernel Regression Algorithms
Julien Audiffren, Hachem Kadri
Stable Coactive Learning via Perturbation
Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy et al.
Stable Hyper-pooling and Query Expansion for Event Detection
Matthijs Douze, Jerome Revaud, Cordelia Schmid et al.
Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology
Hang Chang, Yin Zhou, Paul Spellman et al.
STAR3D: Simultaneous Tracking and Reconstruction of 3D Objects Using RGB-D Data
Carl Yuheng Ren, Victor Prisacariu, David Murray et al.
Stationary-Sparse Causality Network Learning
Yuejia He, Yiyuan She, Dapeng Wu
Statistical Active Learning Algorithms
Maria-Florina F Balcan, Vitaly Feldman
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators.
Michel Besserve, Nikos K. Logothetis, Bernhard Schölkopf
Statistical Tests for Contagion in Observational Social Network Studies
Greg Ver Steeg, Aram Galstyan
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images
Christian Scharfenberger, Alexander Wong, Khalil Fergani et al.
Stochastic Alternating Direction Method of Multipliers
Hua Ouyang, Niao He, Long Tran et al.
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 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.