Papers
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically
Yuan Fang, Kevin Chang, Hady Lauw
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments
Eunho Yang, Aurelie Lozano, Pradeep Ravikumar
Elementary Estimators for High-Dimensional Linear Regression
Eunho Yang, Aurelie Lozano, Pradeep Ravikumar
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
Jose Miguel Hernandez-Lobato, Neil Houlsby, Zoubin Ghahramani
Two-Stage Metric Learning
Jun Wang, Ke Sun, Fei Sha et al.
Rectangular Tiling Process
Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura et al.
Hierarchical Quasi-Clustering Methods for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro et al.
Anomaly Ranking as Supervised Bipartite Ranking
Stephan Clémençon, Sylvain Robbiano
Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications
Sebastien Bratieres, Novi Quadrianto, Sebastian Nowozin et al.
Multi-label Classification via Feature-aware Implicit Label Space Encoding
Zijia Lin, Guiguang Ding, Mingqing Hu et al.
PAC-inspired Option Discovery in Lifelong Reinforcement Learning
Emma Brunskill, Lihong Li
Signal recovery from Pooling Representations
Joan Bruna Estrach, Arthur Szlam, Yann LeCun
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks
Shan-Hung Wu, Hao-Heng Chien, Kuan-Hua Lin et al.
Safe Screening with Variational Inequalities and Its Application to Lasso
Jun Liu, Zheng Zhao, Jie Wang et al.
Clustering in the Presence of Background Noise
Shai Ben-David, Nika Haghtalab
Exchangeable Variable Models
Mathias Niepert, Pedro Domingos
Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
Dengyong Zhou, Qiang Liu, John Platt et al.
Gaussian Process Optimization with Mutual Information
Emile Contal, Vianney Perchet, Nicolas Vayatis
Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting
Yudong Chen, Jiaming Xu
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models
Jie Wang, Qingyang Li, Sen Yang et al.
Deep Generative Stochastic Networks Trainable by Backprop
Yoshua Bengio, Eric Laufer, Guillaume Alain et al.
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing
Yuan Zhou, Xi Chen, Jian Li
Pitfalls in the use of Parallel Inference for the Dirichlet Process
Yarin Gal, Zoubin Ghahramani
Linear and Parallel Learning of Markov Random Fields
Yariv Mizrahi, Misha Denil, Nando De Freitas
Marginal Structured SVM with Hidden Variables
Wei Ping, Qiang Liu, Alex Ihler