Papers
Says Who…? Identification of Expert versus Layman Critics’ Reviews of Documentary Films
Ming Jiang, Jana Diesner
Scalable Adaptive Stochastic Optimization Using Random Projections
Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher et al.
Scalable and Sound Low-Rank Tensor Learning
Hao Cheng, Yaoliang Yu, Xinhua Zhang et al.
Scalable Discrete Sampling as a Multi-Armed Bandit Problem
Yutian Chen, Zoubin Ghahramani
Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation
Ian En-Hsu Yen, Dmitry Malioutov, Abhishek Kumar
Scalable Gaussian Process Classification via Expectation Propagation
Daniel Hernandez-Lobato, Jose Miguel Hernandez-Lobato
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces
William Herlands, Andrew Wilson, Hannes Nickisch et al.
Scalable geometric density estimation
Ye Wang, Antonio Canale, David Dunson
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina, Mathias Berglund, Klaus Greff et al.
Scalable Learning of Bayesian Network Classifiers
Ana M. Martínez, Geoffrey I. Webb, Shenglei Chen et al.
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
Darı́o Ramos-López, Antonio Salmerón, Rafel Rumı́ et al.
Scalable MCMC for Mixed Membership Stochastic Blockmodels
Wenzhe Li, Sungjin Ahn, Max Welling
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
Chong You, Daniel Robinson, Rene Vidal
Scalable Structure Discovery in Regression using Gaussian Processes
Hyunjik Kim, Yee Whye Teh
Scale-Aware Alignment of Hierarchical Image Segmentation
Yuhua Chen, Dengxin Dai, Jordi Pont-Tuset et al.
Scaled Least Squares Estimator for GLMs in Large-Scale Problems
Murat A Erdogdu, Lee H Dicker, Mohsen Bayati
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages
Yin Cheng Ng, Pawel M Chilinski, Ricardo Silva
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Jack Rae, Jonathan J Hunt, Ivo Danihelka et al.
Scaling-up Empirical Risk Minimization: Optimization of Incomplete $U$-statistics
Stephan Clémençon, Igor Colin, Aurélien Bellet
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much
Bryan D He, Christopher M De Sa, Ioannis Mitliagkas et al.
Scene Labeling Using Sparse Precision Matrix
Nasim Souly, Mubarak Shah
Scene Recognition With CNNs: Objects, Scales and Dataset Bias
Luis Herranz, Shuqiang Jiang, Xiangyang Li
SCONE: Secure Linux Containers with Intel SGX
Sergei Arnautov, Bohdan Trach, Franz Gregor et al.