Papers
Fast Low-Rank Semidefinite Programming for Embedding and Clustering
Brian Kulis, Arun C. Surendran, John C. Platt
Incorporating Prior Knowledge on Features into Learning
Eyal Krupka, Naftali Tishby
MDL Histogram Density Estimation
Petri Kontkanen, Petri Myllymäki
Multi-object tracking with representations of the symmetric group
Risi Kondor, Andrew Howard, Tony Jebara
Learning Markov Structure by Maximum Entropy Relaxation
Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky
Loopy Belief Propagation for Bipartite Maximum Weight b-Matching
Bert Huang, Tony Jebara
A Nonparametric Bayesian Approach to Modeling Overlapping Clusters
Katherine A. Heller, Zoubin Ghahramani
Information Retrieval by Inferring Implicit Queries from Eye Movements
David R. Hardoon, John Shawe-Taylor, Antti Ajanki et al.
Space-Efficient Sampling
Sudipto Guha, Andrew McGregor
Hidden Topic Markov Models
Amit Gruber, Yair Weiss, Michal Rosen-Zvi
Dissimilarity in Graph-Based Semi-Supervised Classification
Andrew B. Goldberg, Xiaojin Zhu, Stephen Wright
SampleSearch: A Scheme that Searches for Consistent Samples
Vibhav Gogate, Rina Dechter
Visualizing pairwise similarity via semidefinite programming
Amir Globerson, Sam Roweis
Approximate inference using conditional entropy decompositions
Amir Globerson, Tommi Jaakkola
Deterministic Annealing for Multiple-Instance Learning
Peter V. Gehler, Olivier Chapelle
Online Learning of Search Heuristics
Michael Fink
Exact Bayesian structure learning from uncertain interventions
Daniel Eaton, Kevin Murphy
Learning A* underestimates : Using inference to guide inference
Gregory Druck, Mukund Narasimhan, Paul Viola
Large-Margin Classification in Banach Spaces
Ricky Der, Daniel Lee
Fast search for Dirichlet process mixture models
Hal Daume III
Solving Markov Random Fields with Spectral Relaxation
Timothee Cour, Jianbo Shi
Visualizing Similarity Data with a Mixture of Maps
James Cook, Ilya Sutskever, Andriy Mnih et al.
The Laplacian Eigenmaps Latent Variable Model
Miguel A. Carreira-Perpiñán, Zhengdong Lu
A Hybrid Pareto Model for Conditional Density Estimation of Asymmetric Fat-Tail Data
Julie Carreau, Yoshua Bengio
Kernel Multi-task Learning using Task-specific Features
Edwin V. Bonilla, Felix V. Agakov, Christopher K. I. Williams