Papers
The Coding Divergence for Measuring the Complexity of Separating Two Sets
Mahito Sugiyama, Akihiro Yamamoto
The Feature Selection Path in Kernel Methods
Fuxin Li, Cristian Sminchisescu
The Group Dantzig Selector
Han Liu, Jian Zhang, Xiaoye Jiang et al.
The LASSO risk: asymptotic results and real world examples
Mohsen Bayati, José Pereira, Andrea Montanari
The Maximal Causes of Natural Scenes are Edge Filters
Jose Puertas, Joerg Bornschein, Jörg Lücke
The Multidimensional Wisdom of Crowds
Peter Welinder, Steve Branson, Pietro Perona et al.
The Neural Costs of Optimal Control
Samuel Gershman, Robert Wilson
The SHOGUN Machine Learning Toolbox
Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel et al.
The Smooth Curvature Flexure Model: An Accurate, Low-Dimensional Approach for Robot Analysis
L. Odhner and A. Dollar
Throttling Poisson Processes
Uwe Dick, Peter Haider, Thomas Vanck et al.
Tight Sample Complexity of Large-Margin Learning
Sivan Sabato, Nathan Srebro, Naftali Tishby
Tiled convolutional neural networks
Jiquan Ngiam, Zhenghao Chen, Daniel Chia et al.
t-logistic regression
Nan Ding, S.v.n. Vishwanathan
Topology Selection in Graphical Models of Autoregressive Processes
Jitkomut Songsiri, Lieven Vandenberghe
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
Congcong Li, Adarsh Kowdle, Ashutosh Saxena et al.
Towards Property-Based Classification of Clustering Paradigms
Margareta Ackerman, Shai Ben-David, David Loker
Towards Understanding Situated Natural Language
Antoine Bordes, Nicolas Usunier, Ronan Collobert et al.
Trading off Mistakes and Don't-Know Predictions
Amin Sayedi, Morteza Zadimoghaddam, Avrim Blum
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang et al.
Transduction with Matrix Completion: Three Birds with One Stone
Andrew Goldberg, Ben Recht, Junming Xu et al.
Tree Decomposition for Large-Scale SVM Problems
Fu Chang, Chien-Yang Guo, Xiao-Rong Lin et al.
Tree-Structured Stick Breaking for Hierarchical Data
Zoubin Ghahramani, Michael I. Jordan, Ryan P. Adams
Two-Layer Generalization Analysis for Ranking Using Rademacher Average
Wei Chen, Tie-yan Liu, Zhi-ming Ma
Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot, Yoshua Bengio