A note on the lack of symmetry in the graphical lasso
A Novel M-Estimator for Robust PCA
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
A Risk Comparison of Ordinary Least Squares vs Ridge Regression
A ROAD to Classification in High Dimensional Space
A robust and sparse K-means clustering algorithm
A Simple CW-SSIM Kernel-based Nearest Neighbor Method for Handwritten Digit Classification
A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process
A state-space mixed membership blockmodel for dynamic network tomography
A Stochastic Model for Collaborative Recommendation
A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized least-square problem
A theory of multiclass boosting
A Tutorial on Bayesian Nonparametric Models
A unifying view for performance measures in multi-class prediction
A Unifying View of Multiple Kernel Learning
Accurate Estimators for Improving Minwise Hashing and b-Bit Minwise Hashing
Active Learning for Hidden Attributes in Networks
Activized Learning: Transforming Passive to Active with Improved Label Complexity
Adapting to Non-stationarity with Growing Expert Ensembles