Papers
Random Sampling of States in Dynamic Programming
Chris Atkeson, Benjamin Stephens
Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
Yuanhao Chen, Long Zhu, Chenxi Lin et al.
Receding Horizon Differential Dynamic Programming
Yuval Tassa, Tom Erez, William D. Smart
Receptive Fields without Spike-Triggering
Guenther Zeck, Matthias Bethge, Jakob H. Macke
Regret Minimization in Games with Incomplete Information
Martin Zinkevich, Michael Johanson, Michael Bowling et al.
Regularized Boost for Semi-Supervised Learning
Ke Chen, Shihai Wang
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach
José M. Hernández-lobato, Tjeerd Dijkstra, Tom Heskes
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Alessandro Lazaric, Marcello Restelli, Andrea Bonarini
Retrieved context and the discovery of semantic structure
Vinayak Rao, Marc Howard
Robust Regression with Twinned Gaussian Processes
Andrew Naish-guzman, Sean Holden
Scan Strategies for Meteorological Radars
Victoria Manfredi, Jim Kurose
Scene Segmentation with CRFs Learned from Partially Labeled Images
Bill Triggs, Jakob J. Verbeek
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Christoforos Christoforou, Paul Sajda, Lucas C. Parra
Selecting Observations against Adversarial Objectives
Andreas Krause, Brendan Mcmahan, Carlos Guestrin et al.
Semi-Supervised Multitask Learning
Qiuhua Liu, Xuejun Liao, Lawrence Carin
Sequential Hypothesis Testing under Stochastic Deadlines
Peter Frazier, Angela J. Yu
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
Lars Buesing, Wolfgang Maass
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
Andrea Lecchini-visintini, John Lygeros, Jan Maciejowski
SpAM: Sparse Additive Models
Han Liu, Larry Wasserman, John D. Lafferty et al.
Sparse deep belief net model for visual area V2
Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng
Sparse Feature Learning for Deep Belief Networks
Marc'aurelio Ranzato, Y-lan Boureau, Yann L. Cun
Sparse Overcomplete Latent Variable Decomposition of Counts Data
Madhusudana Shashanka, Bhiksha Raj, Paris Smaragdis
Spatial Latent Dirichlet Allocation
Xiaogang Wang, Eric Grimson
Stability Bounds for Non-i.i.d. Processes
Mehryar Mohri, Afshin Rostamizadeh
Stable Dual Dynamic Programming
Tao Wang, Michael Bowling, Dale Schuurmans et al.