
Models and Methods
 Bayesian methods
 Boosting
 Causality
 Compressed sensing, sparse coding
 Deep learning
 Ensemble methods
 Feature selection
 Frequentist methods (Maximum likelihood)
 Gaussian processes
 Graphical models
 Kernel methods
 Learning theory
 Learning on graphs
 Large margin methods
 Logic and probability
 Information geometry
 Information theory
 Matrix and tensor factorization
 Manifold learning, nonlinear embedding
 Model selection
 Nonparametric models
 Online learning
 Representation, structure learning
 Sampling
 Spatial models
 Spectral methods
 Stochastic processes
 Time series and sequence models
Problem types
Supervised learning
 Active learning
 Cassification
 Prediction with missing data
 Regression
 Structured prediction
Unsupervised and semisupervised learning
 Clustering
 Density estimation
 Dimension reduction
 Latent variable models
 Topic models
Decisionmaking and control
 Control theory
 Decision theory
 Game theory
 Mechanism design
 Multiagent systems
 Noregret learning
 Planning
 Reinforcement learning
Algorithms and applications
Optimization and computation methods
 Combinatorial optimization
 Convex optimization
 Gradientbased optimization
 Monte Carlo methods
 Numerical methods
Systems and software
 High performance architectures
 Largescale learning systems
 Parallel and distributed algorithms
 Software packages
Applications
 Biology and genomics
 Brain computer interfaces
 Cognitive science
 Collaborative filtering, recommendation systems
 Computer vision
 Data visualization
 Economics and finance
 Image processing
 Informatics
 Information retrieval
 Medical imaging
 Natural language processing, text mining
 Network data analysis
 Neuroscience
 Robotics
 Scientific computing, data analysis
 Signal processing
 Statistical databases
 World wide web, search


