
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
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
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


