Stat-Ml
Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots
Learning to Make Predictions In Partially Observable Environments Without a Generative Model
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Near-Optimal BRL using Optimistic Local Transitions
Oriented and Degree-generated Block Models: Generating and Inferring Communities with Inhomogeneous Degree Distributions
Random Utility Theory for Social Choice
Reconstructing Self Organizing Maps as Spider Graphs for better visual interpretation of large unstructured datasets
Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data
Two-Way Latent Grouping Model for User Preference Prediction
Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures
