Papers
Maximum Volume Clustering
Gang Niu, Bo Dai, Lin Shang et al.
Mixed Cumulative Distribution Networks
Ricardo Silva, Charles Blundell, Yee Whye Teh
Multicore Gibbs Sampling in Dense, Unstructured Graphs
Tianbing Xu, Alexander Ihler
Multi-Label Output Codes using Canonical Correlation Analysis
Yi Zhang, Jeff Schneider
Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur Parikh, Le Song et al.
On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki et al.
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon Hui Teo et al.
Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Hal Daumé III et al.
Online Learning of Structured Predictors with Multiple Kernels
Andre Filipe Torres Martins, Noah Smith, Eric Xing et al.
Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John Paisley, David M. Blei
On NDCG Consistency of Listwise Ranking Methods
Pradeep Ravikumar, Ambuj Tewari, Eunho Yang
On the Estimation of $\alpha$-Divergences
Barnabas Poczos, Jeff Schneider
On Time Varying Undirected Graphs
Mladen Kolar, Eric P. Xing
Optimal and Robust Price Experimentation: Learning by Lottery
Christopher Dance, Onno Zoeter
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
Sue Ann Hong, Geoffrey Gordon
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
Joseph Gonzalez, Yucheng Low, Arthur Gretton et al.
Polytope samplers for inference in ill-posed inverse problems
Edoardo Airoldi, Bertrand Haas
Relational Learning with One Network: An Asymptotic Analysis
Rongjing Xiang, Jennifer Neville
Relative Entropy Inverse Reinforcement Learning
Abdeslam Boularias, Jens Kober, Jan Peters
Revisiting MAP Estimation, Message Passing and Perfect Graphs
James Foulds, Nicholas Navaroli, Padhraic Smyth et al.
Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau
Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou, Mikhail Belkin
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
Richard Socher, Andrew Maas, Christopher Manning
Spectral Clustering on a Budget
Ohad Shamir, Naftali Tishby
Spectral Dimensionality Reduction via Maximum Entropy
Neil Lawrence