Papers
Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims et al.
Semi-supervised Regression via Parallel Field Regularization
Binbin Lin, Chiyuan Zhang, Xiaofei He
Sequence learning with hidden units in spiking neural networks
Johanni Brea, Walter Senn, Jean-pascal Pfister
Shallow vs. Deep Sum-Product Networks
Olivier Delalleau, Yoshua Bengio
Shaping Level Sets with Submodular Functions
Francis R. Bach
ShareBoost: Efficient multiclass learning with feature sharing
Shai Shalev-shwartz, Yonatan Wexler, Amnon Shashua
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment
Sebastian A. Kurtek, Anuj Srivastava, Wei Wu
Similarity-based Learning via Data Driven Embeddings
Purushottam Kar, Prateek Jain
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
Trung T. Pham, Tat-jun Chin, Jin Yu et al.
Solving Decision Problems with Limited Information
Denis D. Maua, Cassio Campos
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
Andrew E. Waters, Aswin C. Sankaranarayanan, Richard Baraniuk
Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter, Cédric Archambeau
Sparse Estimation with Structured Dictionaries
David P. Wipf
Sparse Features for PCA-Like Linear Regression
Christos Boutsidis, Petros Drineas, Malik Magdon-Ismail
Sparse Filtering
Jiquan Ngiam, Zhenghao Chen, Sonia A. Bhaskar et al.
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar et al.
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
Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth et al.
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 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.