Papers
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms
Adrien Todeschini, François Caron, Marie Chavent
Probabilistic Movement Primitives
Alexandros Paraschos, Christian Daniel, Jan R Peters et al.
Probabilistic Principal Geodesic Analysis
Miaomiao Zhang, Tom Fletcher
Projected Natural Actor-Critic
Philip S. Thomas, William C Dabney, Stephen Giguere et al.
Projecting Ising Model Parameters for Fast Mixing
Justin Domke, Xianghang Liu
Provable Subspace Clustering: When LRR meets SSC
Yu-Xiang Wang, Huan Xu, Chenlei Leng
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
Rapid Distance-Based Outlier Detection via Sampling
Mahito Sugiyama, Karsten Borgwardt
Real-Time Inference for a Gamma Process Model of Neural Spiking
David E Carlson, Vinayak Rao, Joshua T Vogelstein et al.
Reasoning With Neural Tensor Networks for Knowledge Base Completion
Richard Socher, Danqi Chen, Christopher D. Manning et al.
Reconciling "priors" & "priors" without prejudice?
Remi Gribonval, Pierre Machart
Recurrent linear models of simultaneously-recorded neural populations
Marius Pachitariu, Biljana Petreska, Maneesh Sahani
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems
Hesham Mostafa, Lorenz. K Mueller, Giacomo Indiveri
Reflection methods for user-friendly submodular optimization
Stefanie Jegelka, Francis Bach, Suvrit Sra
Regression-tree Tuning in a Streaming Setting
Samory Kpotufe, Francesco Orabona
Regret based Robust Solutions for Uncertain Markov Decision Processes
Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak et al.
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh, Martin J. Wainwright
Reinforcement Learning in Robust Markov Decision Processes
Shiau Hong Lim, Huan Xu, Shie Mannor
Relevance Topic Model for Unstructured Social Group Activity Recognition
Fang Zhao, Yongzhen Huang, Liang Wang et al.
Reservoir Boosting : Between Online and Offline Ensemble Learning
Leonidas Lefakis, François Fleuret
Reshaping Visual Datasets for Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha
Restricting exchangeable nonparametric distributions
Sinead A Williamson, Steve N MacEachern, Eric P Xing
Reward Mapping for Transfer in Long-Lived Agents
Xiaoxiao Guo, Satinder Singh, Richard L. Lewis