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
Optimizing an Organized Modularity Measure for Topographic Graph Clustering: a Deterministic Annealing Approach
Order-preserving factor analysis (OPFA)
Ordinal Risk-Group Classification
Overlapping Mixtures of Gaussian Processes for the Data Association Problem