Papers
Learning Deep Structured Models
Liang-Chieh Chen, Alexander Schwing, Alan Yuille et al.
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Andrew Wilson, Hannes Nickisch
Training Deep Convolutional Neural Networks to Play Go
Christopher Clark, Amos Storkey
Harmonic Exponential Families on Manifolds
Taco Cohen, Max Welling
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices
Jie Wang, Jieping Ye
Deep Learning with Limited Numerical Precision
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan et al.
Stay on path: PCA along graph paths
Megasthenis Asteris, Anastasios Kyrillidis, Alex Dimakis et al.
Generative Moment Matching Networks
Yujia Li, Kevin Swersky, Rich Zemel
A Theoretical Analysis of Metric Hypothesis Transfer Learning
Michaël Perrot, Amaury Habrard
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
Jose Miguel Hernandez-Lobato, Michael Gelbart, Matthew Hoffman et al.
Is Feature Selection Secure against Training Data Poisoning?
Huang Xiao, Battista Biggio, Gavin Brown et al.
A Convex Optimization Framework for Bi-Clustering
Shiau Hong Lim, Yudong Chen, Huan Xu
Deep Edge-Aware Filters
Li Xu, Jimmy Ren, Qiong Yan et al.
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
Balazs Szorenyi, Robert Busa-Fekete, Paul Weng et al.
Large-scale Distributed Dependent Nonparametric Trees
Zhiting Hu, Ho Qirong, Avinava Dubey et al.
Hashing for Distributed Data
Cong Leng, Jiaxiang Wu, Jian Cheng et al.
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Julie Nutini, Mark Schmidt, Issam Laradji et al.
Learning Submodular Losses with the Lovasz Hinge
Jiaqian Yu, Matthew Blaschko
Weight Uncertainty in Neural Network
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu et al.
Long Short-Term Memory Over Recursive Structures
Xiaodan Zhu, Parinaz Sobihani, Hongyu Guo
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
Amar Shah, David Knowles, Zoubin Ghahramani
Geometric Conditions for Subspace-Sparse Recovery
Chong You, Rene Vidal
Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees
Mathieu Serrurier, Henri Prade
Non-Stationary Approximate Modified Policy Iteration
Boris Lesner, Bruno Scherrer
K-hyperplane Hinge-Minimax Classifier
Margarita Osadchy, Tamir Hazan, Daniel Keren