AISTATS*07 Poster Session 3

Saturday March 24

Space-Efficient Sampling
- Sudipto Guha, Andrew McGregor
Solving Markov Random Fields with Spectral Relaxation
- Timothee Cour and Jianbo Shi
Fast Mean Shift with Accurate and Stable Convergence
- Ping Wang, Dongryeol Lee, Alexander Gray, and James Rehg
A Latent Space Approach to Dynamic Embedding of Co-occurrence Data
- Purnamrita Sarkar, Sajid Siddiqi, and Geoff Gordon
Analogical Reasoning with Relational Bayesian Sets
- Ricardo Silva, Katherine Heller, and Zoubin Ghahramani
Visualizing Similarity Data with a Mixture of Maps
- James Cook, Ilya Sutskever, Andriy Mnih, and Geoffrey Hinton
Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo
- Han Liu, John Lafferty, and Larry Wasserman
The Laplacian Eigenmaps Latent Variable Model
- Miguel Carreira-Perpinan, and Zhengdong Lu
A Bayesian Divergence Prior for Classifier Adaptation
- Xiao Li and Jeff Bilmes
Hidden Topic Markov Models
- Amit Gruber, Michal Rosen-Zvi, and Yair Weiss
Treelets --- A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data
- Ann Lee and Boaz Nadler
Kernel Multi-task Learning using Task-specific Features
- Edwin Bonilla, Felix Agakov, Chris Williams
SVM versus Least Squares SVM
- Jieping Ye and Tao Xiong
(Approximate) Subgradient Methods for Structured Prediction
- Nathan Ratliff, J. Andrew Bagnell, and Martin Zinkevich
Local and global sparse Gaussian process approximations
- Edward Snelson, Zoubin Ghahramani
Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach
- Zhengdong Lu
Online Learning of Search Heuristics
- Michael Fink
Margin based Transductive Graph Cuts using Linear Programming
- Kristiaan Pelckmans, John Shawe-Taylor, Johan Suykens, and Bart De Moor
Recall Systems: Efficient Learning and Use of Category Indices
- Omid Madani, Wiley Greiner, David Kempe, and Mohammad Salavatipour
A Boosting Algorithm for Label Covering in Multilabel Problems
- Yonatan Amit, Ofer Dekel, Yoram Singer
A Unified Algorithmic Approach for Efficient Online Label Ranking
- Shai Shalev-Shwartz, and Yoram Singer
On tight approximate inference of the logistic normal topic admixture model.
- Amr Ahmed and Eric Xing
Predictive Discretization during Model Selection
- Harald Steck and Tommi Jaakkola