Stat-Ml
A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features
A Poisson convolution model for characterizing topical content with word frequency and exclusivity
Accuracy Bounds for Belief Propagation
Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks
An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching
Anytime Marginal MAP Inference
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Belief Updating and Learning in Semi-Qualitative Probabilistic Networks
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
