Papers
Actor-Critic Algorithms for Risk-Sensitive MDPs
Prashanth L.A., Mohammad Ghavamzadeh
Density estimation from unweighted k-nearest neighbor graphs: a roadmap
Ulrike Von Luxburg, Morteza Alamgir
Mapping paradigm ontologies to and from the brain
Yannick Schwartz, Bertrand Thirion, Gael Varoquaux
One-shot learning and big data with n=2
Lee H Dicker, Dean P. Foster
Unsupervised Spectral Learning of Finite State Transducers
Raphael Bailly, Xavier Carreras, Ariadna Quattoni
A Stability-based Validation Procedure for Differentially Private Machine Learning
Kamalika Chaudhuri, Staal A Vinterbo
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent
Yuening Hu, Jordan L Ying, Hal Daume III et al.
Message Passing Inference with Chemical Reaction Networks
Nils E Napp, Ryan P. Adams
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning
Miao Xu, Rong Jin, Zhi-Hua Zhou
Probabilistic Movement Primitives
Alexandros Paraschos, Christian Daniel, Jan R Peters et al.
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising
Forest Agostinelli, Michael R Anderson, Honglak Lee
Understanding variable importances in forests of randomized trees
Gilles Louppe, Louis Wehenkel, Antonio Sutera et al.
Regret based Robust Solutions for Uncertain Markov Decision Processes
Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak et al.
Policy Shaping: Integrating Human Feedback with Reinforcement Learning
Shane Griffith, Kaushik Subramanian, Jonathan Scholz et al.
Minimax Optimal Algorithms for Unconstrained Linear Optimization
Brendan McMahan, Jacob Abernethy
Projected Natural Actor-Critic
Philip S. Thomas, William C Dabney, Stephen Giguere et al.
Learning a Deep Compact Image Representation for Visual Tracking
Naiyan Wang, Dit-Yan Yeung
Reconciling "priors" & "priors" without prejudice?
Remi Gribonval, Pierre Machart
Generalized Method-of-Moments for Rank Aggregation
Hossein Azari Soufiani, William Chen, David C. Parkes et al.
Learning word embeddings efficiently with noise-contrastive estimation
Andriy Mnih, Koray Kavukcuoglu
Structured Learning via Logistic Regression
Justin Domke
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data
Jasper Snoek, Richard Zemel, Ryan P. Adams