Papers
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.
Sliding Manipulation of Rigid Bodies on a Controlled 6-DoF Plate
Tom Vose, Paul Umbanhowar, Kevin Lynch
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 Linear Identifiable Multivariate Modeling
Ricardo Henao, Ole Winther
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