Papers
Manifold Regularization for SIR with Rate Root-n Convergence
Wei Bian, Dacheng Tao
Ensemble Nystrom Method
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
Keith Bush, Joelle Pineau
Learning transport operators for image manifolds
Benjamin Culpepper, Bruno A. Olshausen
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
Baback Moghaddam, Mohammad Emtiyaz Khan, Kevin P. Murphy et al.
Unsupervised feature learning for audio classification using convolutional deep belief networks
Honglak Lee, Peter Pham, Yan Largman et al.
fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity
Bryan Conroy, Ben Singer, James Haxby et al.
Data-driven calibration of linear estimators with minimal penalties
Sylvain Arlot, Francis R. Bach
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
Paris Smaragdis, Madhusudana Shashanka, Bhiksha Raj
Bayesian Sparse Factor Models and DAGs Inference and Comparison
Ricardo Henao, Ole Winther
Submodularity Cuts and Applications
Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda et al.
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
Manqi Zhao, Venkatesh Saligrama
A Data-Driven Approach to Modeling Choice
Vivek Farias, Srikanth Jagabathula, Devavrat Shah
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
Xiao-ming Wu, Anthony M. So, Zhenguo Li et al.
Abstraction and Relational learning
Charles Kemp, Alan Jern
Conditional Random Fields with High-Order Features for Sequence Labeling
Nan Ye, Wee S. Lee, Hai L. Chieu et al.
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
Tomasz Malisiewicz, Alyosha Efros
Kernels and learning curves for Gaussian process regression on random graphs
Peter Sollich, Matthew Urry, Camille Coti
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