Papers
173,579 papers found
Sparse Manifold Clustering and Embedding
Ehsan Elhamifar, René Vidal
Sparse recovery by thresholded non-negative least squares
Martin Slawski, Matthias Hein
Sparse Recovery with Brownian Sensing
Alexandra Carpentier, Odalric-ambrym Maillard, Rémi Munos
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression
Sébastien Gerchinovitz
Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth et al.
Spatial Formation Model for Initiating Conversation
Chao Shi, Michihiro Shimada, Takayuki Kanda et al.
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
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
Structured Learning for Cell Tracking
Xinghua Lou, Fred A. Hamprecht
Structured sparse coding via lateral inhibition
Arthur D. Szlam, Karol Gregor, Yann L. Cun
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton, Jean-Yves Audibert, Francis Bach
Structure Learning for Optimization
Shulin Yang, Ali Rahimi
Submodular Multi-Label Learning
James Petterson, Tibério S. Caetano
Summarization of Yes/No Questions Using a Feature Function Model
Jing He, Decheng Dai
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama