Papers
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher, Andrew Maas, Christopher Manning
Spectral Clustering on a Budget
Ohad Shamir, Naftali Tishby
Spectral Dimensionality Reduction via Maximum Entropy
Neil Lawrence
Spectral Methods for Learning Multivariate Latent Tree Structure
Animashree Anandkumar, Kamalika Chaudhuri, Daniel J. Hsu et al.
Speedy Q-Learning
Mohammad Ghavamzadeh, Hilbert J. Kappen, Mohammad G. Azar et al.
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
Michalis K. Titsias, Miguel Lázaro-Gredilla
Splitting Noun Compounds via Monolingual and Bilingual Paraphrasing: A Study on Japanese Katakana Words
Nobuhiro Kaji, Masaru Kitsuregawa
Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
Heeyoung Lee, Yves Peirsman, Angel Chang et al.
Statistical Optimization of Non-Negative Matrix Factorization
Anoop Korattikara Balan, Levi Boyles, Max Welling et al.
Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi et al.
Statistical Tests for Optimization Efficiency
Levi Boyles, Anoop Korattikara, Deva Ramanan et al.
Stochastic convex optimization with bandit feedback
Alekh Agarwal, Dean P. Foster, Daniel J. Hsu et al.
Stochastic Methods for -regularized Loss Minimization
Shai Shalev-Shwartz, Ambuj Tewari
Structural equations and divisive normalization for energy-dependent component analysis
Jun-ichiro Hirayama, Aapo Hyvärinen
Structural Opinion Mining for Graph-based Sentiment Representation
Yuanbin Wu, Qi Zhang, Xuanjing Huang et al.
Structural Topic Model for Latent Topical Structure Analysis
Hongning Wang, Duo Zhang, ChengXiang Zhai
Structured and Extended Named Entity Evaluation in Automatic Speech Transcriptions
Olivier Galibert, Sophie Rosset, Cyril Grouin et al.
Structured Learning for Cell Tracking
Xinghua Lou, Fred A. Hamprecht
Structured Lexical Similarity via Convolution Kernels on Dependency Trees
Danilo Croce, Alessandro Moschitti, Roberto Basili
Structured Relation Discovery using Generative Models
Limin Yao, Aria Haghighi, Sebastian Riedel et al.
Structured sparse coding via lateral inhibition
Arthur D. Szlam, Karol Gregor, Yann L. Cun
Structured Sparsity in Structured Prediction
André Martins, Noah Smith, Mário Figueiredo et al.
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton, Jean-Yves Audibert, Francis Bach
Structure Learning for Optimization
Shulin Yang, Ali Rahimi