Papers
Boosting Classifier Cascades
Nuno Vasconcelos, Mohammad J. Saberian
Bootstrapping Apprenticeship Learning
Abdeslam Boularias, Brahim Chaib-draa
Brain covariance selection: better individual functional connectivity models using population prior
Gael Varoquaux, Alexandre Gramfort, Jean-baptiste Poline et al.
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
Danial Lashkari, Ramesh Sridharan, Polina Golland
Causal discovery in multiple models from different experiments
Tom Claassen, Tom Heskes
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
Nathan Srebro, Ruslan Salakhutdinov
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
Matthias Broecheler, Lise Getoor
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
Convex Multiple-Instance Learning by Estimating Likelihood Ratio
Fuxin Li, Cristian Sminchisescu
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
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings
Ziv Bar-joseph, Hai-son P. Le
CUR from a Sparse Optimization Viewpoint
Jacob Bien, Ya Xu, Michael W. Mahoney
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication
Guy Isely, Christopher Hillar, Fritz Sommer
Decoding Ipsilateral Finger Movements from ECoG Signals in Humans
Yuzong Liu, Mohit Sharma, Charles Gaona et al.
Decomposing Isotonic Regression for Efficiently Solving Large Problems
Ronny Luss, Saharon Rosset, Moni Shahar
Deep Coding Network
Yuanqing Lin, Tong Zhang, Shenghuo Zhu et al.
Deterministic Single-Pass Algorithm for LDA
Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa
Direct Loss Minimization for Structured Prediction
Tamir Hazan, Joseph Keshet, David A. McAllester
Discriminative Clustering by Regularized Information Maximization
Andreas Krause, Pietro Perona, Ryan G. Gomes
Distributed Dual Averaging In Networks
Alekh Agarwal, Martin J. Wainwright, John C. Duchi
Distributionally Robust Markov Decision Processes
Huan Xu, Shie Mannor