Stat-Ml
Causal discovery of linear acyclic models with arbitrary distributions
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Constrained variable clustering and the best basis problem in functional data analysis
Continuous Inverse Optimal Control with Locally Optimal Examples
Convergence Rates for Differentially Private Statistical Estimation
Data-driven Sequential Monte Carlo in Probabilistic Programming
Discriminative Probabilistic Models for Relational Data
Efficient Markov Network Structure Discovery Using Independence Tests
Efficient Probabilistic Inference with Partial Ranking Queries
Efficiently Searching for Frustrated Cycles in MAP Inference
Enhancing the functional content of protein interaction networks
Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
Laplace approximation for logistic Gaussian process density estimation and regression
Latent Structured Ranking
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
