Papers
The Pareto Regret Frontier
Wouter M. Koolen
The Power of Asymmetry in Binary Hashing
Behnam Neyshabur, Nati Srebro, Ruslan Salakhutdinov et al.
The Randomized Dependence Coefficient
David Lopez-Paz, Philipp Hennig, Bernhard Schölkopf
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Matthias Hein, Simon Setzer, Leonardo Jost et al.
Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
Matthew Lawlor, Steven W Zucker
Thompson Sampling for 1-Dimensional Exponential Family Bandits
Nathaniel Korda, Emilie Kaufmann, Remi Munos
Top-Down Regularization of Deep Belief Networks
Hanlin Goh, Nicolas Thome, Matthieu Cord et al.
Tracking Time-varying Graphical Structure
Erich Kummerfeld, David Danks
Training and Analysing Deep Recurrent Neural Networks
Michiel Hermans, Benjamin Schrauwen
Transfer Learning in a Transductive Setting
Marcus Rohrbach, Sandra Ebert, Bernt Schiele
Translating Embeddings for Modeling Multi-relational Data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran et al.
Transportability from Multiple Environments with Limited Experiments
Elias Bareinboim, Sanghack Lee, Vasant Honavar et al.
Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards
Thomas Bonald, Alexandre Proutiere
Understanding Dropout
Pierre Baldi, Peter J Sadowski
Understanding variable importances in forests of randomized trees
Gilles Louppe, Louis Wehenkel, Antonio Sutera et al.
Universal models for binary spike patterns using centered Dirichlet processes
ll Memming Park, Evan W Archer, Kenneth Latimer et al.
Unsupervised Spectral Learning of Finite State Transducers
Raphael Bailly, Xavier Carreras, Ariadna Quattoni
Unsupervised Structure Learning of Stochastic And-Or Grammars
Kewei Tu, Maria Pavlovskaia, Song-Chun Zhu
Using multiple samples to learn mixture models
Jason Lee, Ran Gilad-Bachrach, Rich Caruana
Variance Reduction for Stochastic Gradient Optimization
Chong Wang, Xi Chen, Alexander J Smola et al.
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
Michalis Titsias RC AUEB, Miguel Lazaro-Gredilla
Variational Planning for Graph-based MDPs
Qiang Cheng, Qiang Liu, Feng Chen et al.
Variational Policy Search via Trajectory Optimization
Sergey Levine, Vladlen Koltun
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
Yangqing Jia, Joshua T. Abbott, Joseph L Austerweil et al.