Papers
A Fast, Consistent Kernel Two-Sample Test
Arthur Gretton, Kenji Fukumizu, Zaïd Harchaoui et al.
Label Selection on Graphs
Andrew Guillory, Jeff A. Bilmes
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
Tao Hu, Anthony Leonardo, Dmitri B. Chklovskii
Posterior vs Parameter Sparsity in Latent Variable Models
Kuzman Ganchev, Ben Taskar, Fernando Pereira et al.
Adaptive Regularization of Weight Vectors
Koby Crammer, Alex Kulesza, Mark Dredze
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
Zhi Yang, Qi Zhao, Edward Keefer et al.
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
Sundeep Rangan, Alyson K. Fletcher
On the Convergence of the Concave-Convex Procedure
Gert R. Lanckriet, Bharath K. Sriperumbudur
Subject independent EEG-based BCI decoding
Siamac Fazli, Cristian Grozea, Marton Danoczy et al.
Adaptive Regularization for Transductive Support Vector Machine
Zenglin Xu, Rong Jin, Jianke Zhu et al.
Periodic Step Size Adaptation for Single Pass On-line Learning
Chun-nan Hsu, Yu-ming Chang, Hanshen Huang et al.
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
Yicong Meng, Bertram E. Shi
Exponential Family Graph Matching and Ranking
James Petterson, Jin Yu, Julian J. Mcauley et al.
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
Andrew McCallum, Karl Schultz, Sameer Singh
Nonlinear directed acyclic structure learning with weakly additive noise models
Arthur Gretton, Peter Spirtes, Robert E. Tillman
A Gaussian Tree Approximation for Integer Least-Squares
Jacob Goldberger, Amir Leshem
On Learning Rotations
Raman Arora
Semi-supervised Learning using Sparse Eigenfunction Bases
Kaushik Sinha, Mikhail Belkin
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
Barry Chai, Dirk Walther, Diane Beck et al.
Quantification and the language of thought
Charles Kemp
Analysis of SVM with Indefinite Kernels
Yiming Ying, Colin Campbell, Mark Girolami
Sparsistent Learning of Varying-coefficient Models with Structural Changes
Mladen Kolar, Le Song, Eric P. Xing
Discriminative Network Models of Schizophrenia
Irina Rish, Benjamin Thyreau, Bertrand Thirion et al.