Maximum Entropy Discrimination Markov Networks

Maximum Joint Entropy and Information-Based Collaboration of Automated Learning Machines

Maximum Likelihood Joint Tracking and Association in a Strong Clutter without Combinatorial Complexity

Mean-Field Theory of Meta-Learning

MedLDA: A General Framework of Maximum Margin Supervised Topic Models

Metric Embedding for Nearest Neighbor Classification

Minimax Manifold Estimation

Minimax Policies for Combinatorial Prediction Games

Minimax Rates for Homology Inference

Minimax Rates of Estimation for Sparse PCA in High Dimensions

Missing Data using Decision Forest and Computational Intelligence

Mixed Cumulative Distribution Networks

Mixed-Membership Stochastic Block-Models for Transactional Networks

Mixtures of conditional Gaussian scale mixtures applied to multiscale image representations

Modern hierarchical, agglomerative clustering algorithms

Moment based estimation of stochastic Kronecker graph parameters

Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity

Multi-stage Convex Relaxation for Feature Selection

Multi-Task Output Space Regularization

Multi-view predictive partitioning in high dimensions