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

Online Multiple Kernel Learning for Structured Prediction

Operator norm convergence of spectral clustering on level sets

Optimal Allocation Strategies for the Dark Pool Problem

Optimal construction of k-nearest neighbor graphs for identifying noisy clusters

Optimal exponential bounds on the accuracy of classification

Optimal Reinforcement Learning for Gaussian Systems

Optimally-Weighted Herding is Bayesian Quadrature