Papers
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
Nathan Srebro, Ruslan Salakhutdinov
Collaborative Filtering on a Budget
Alexandros Karatzoglou, Alex Smola, Markus Weimer
Collaborative Filtering via Rating Concentration
Bert Huang, Tony Jebara
Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan
Color-Accurate Underwater Imaging using Perceptual Adaptive Illumination
I. Vasilescu, C. Detweiler and D. Rus
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
Frederick Eberhardt, Patrik Hoyer, Richard Scheines
Composite Binary Losses
Mark D. Reid, Robert C. Williamson
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
Matthias Broecheler, Lise Getoor
Conceptual Imitation Learning: An Application to Human-robot Interaction
Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mostafa Ajallooeian et al.
Conditional Density Estimation via Least-Squares Density Ratio Estimation
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki et al.
Consensus-Based Distributed Support Vector Machines
Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis
Consistent data association in multi-robot systems with limited communications
R. Aragues, E. Montijano and C. Sagues
Consistent Nonparametric Tests of Independence
Arthur Gretton, László Györfi
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories
George Konidaris, Scott Kuindersma, Roderic Grupen et al.
Construction of Dependent Dirichlet Processes based on Poisson Processes
Dahua Lin, Eric Grimson, John W. Fisher
Content-based Image Retrieval with Multinomial Relevance Feedback
Dorota Glowacka, John Shawe-Taylor
Contextual Multi-Armed Bandits
Tyler Lu, David Pal, Martin Pal
Continuous Time Bayesian Network Reasoning and Learning Engine
Christian R. Shelton, Yu Fan, William Lam et al.
Convexity of Proper Composite Binary Losses
Mark Reid, Robert Williamson
Convex Multiple-Instance Learning by Estimating Likelihood Ratio
Fuxin Li, Cristian Sminchisescu
Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials
Mark Schmidt, Kevin Murphy
Copula Bayesian Networks
Gal Elidan
Copula Processes
Andrew G Wilson, Zoubin Ghahramani
Co-regularization Based Semi-supervised Domain Adaptation
Abhishek Kumar, Avishek Saha, Hal Daume
Covariance in Unsupervised Learning of Probabilistic Grammars
Shay B. Cohen, Noah A. Smith