On a Rapid Simulation of the Dirichlet Process

On approximation of smoothing probabilities for hidden Markov models

On Identifying Significant Edges in Graphical Models

On landmark selection and sampling in high-dimensional data analysis

On l_1 Mean and Variance Filtering

On Nonparametric Guidance for Learning Autoencoder Representations

On Ranking Senators By Their Votes

On the $\ell_1-\ell_q$ Regularized Regression

On the Estimation of Coherence

On the Evaluation Criterions for the Active Learning Processes

On the Geometry of Discrete Exponential Families with Application to Exponential Random Graph Models

On the numeric stability of the SFA implementation sfa-tk

On the trade-off between complexity and correlation decay in structural learning algorithms

On the underestimation of model uncertainty by Bayesian K-nearest neighbors

Online algorithms for Nonnegative Matrix Factorization with the Itakura-Saito divergence

Online Coordinate Boosting

Online Learning in Discrete Hidden Markov Models

Online Learning: Beyond Regret

Online Learning: Stochastic and Constrained Adversaries

Online Multi-task Learning with Hard Constraints