Papers
Stability Bounds for Stationary φ-mixing and β-mixing Processes
Mehryar Mohri, Afshin Rostamizadeh
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie et al.
State-Space Inference and Learning with Gaussian Processes
Ryan Turner, Marc Deisenroth, Carl Rasmussen
Static Analysis of Binary Executables Using Structural SVMs
Nikos Karampatziakis
Stochastic Complementarity for Local Control of Discontinuous Dynamics
Y. Tassa and E. Todorov
Stochastic Composite Likelihood
Joshua V. Dillon, Guy Lebanon
Stochastic Modeling of the Expected Time to Search for an Intermittent Signal Source Under a Limited Sensing Range
D. Song, C. Y. Kim and J. Yi
Structural epitome: a way to summarize one’s visual experience
Nebojsa Jojic, Alessandro Perina, Vittorio Murino
Structured Determinantal Point Processes
Alex Kulesza, Ben Taskar
Structured Prediction Cascades
David Weiss, Benjamin Taskar
Structured Sparse Principal Component Analysis
Rodolphe Jenatton, Guillaume Obozinski, Francis Bach
Structured sparsity-inducing norms through submodular functions
Francis R. Bach
Study of group food retrieval by ants as a model for multi-robot collective transport strategies
S. Berman, Q. Lindsey, M. Sakar et al.
Subgraph Detection Using Eigenvector L1 Norms
Benjamin Miller, Nadya Bliss, Patrick J. Wolfe
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework
Hongbo Zhou, Qiang Cheng
Sufficient covariates and linear propensity analysis
Hui Guo, Philip Dawid
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation
Taiji Suzuki, Masashi Sugiyama
Supervised Clustering
Pranjal Awasthi, Reza B. Zadeh
Supervised Dimension Reduction Using Bayesian Mixture Modeling
Kai Mao, Feng Liang, Sayan Mukherjee
Switched Latent Force Models for Movement Segmentation
Mauricio Alvarez, Jan R. Peters, Neil D. Lawrence et al.
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates
Ken Takiyama, Masato Okada
Synergies in learning words and their referents
Mark Johnson, Katherine Demuth, Bevan Jones et al.
Task-Driven Tactile Exploration
K. Hsiao, L. Kaelbling and T. Lozano-Perez
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Guillaume Desjardins, Aaron Courville, Yoshua Bengio et al.