Keywords

Probabilistic Models and Methods:

• Graphical Models
• Mixture Models
• Gaussian Processes
• Bayesian Methods
• Exact and Approximate Inference
• Variational Methods
• Belief Propagation
• Monte Carlo Methods
• Model Selection & Structure Learning
• Density Estimation
• Causal Inference
• Missing Data
• Temporal Models and Sequence Data
• Structured and Relational Data

Supervised Learning:

• Large Margin Methods
• Classification
• Regression
• Kernel Methods
• Model Selection
• Ensemble Methods and Boosting
• Neural Networks
• Sparsity and Feature Selection
• Learning with Structured Data

Unsupervised and Semi-supervised Learning:

• Clustering
• Similarity and Distance Learning
• Transduction Learning
• Embeddings and Manifold Learning
• Active Learning
• Spectral Methods
• ICA, PCA, CCA and Other Linear Models
• Topic Models
• Matrix Factorization
• Anomaly Detection

Control and Reinforcement Learning:

• Control
• Reinforcement Learning
• Markov Decision Processes
• Planning and Decision Making
• POMDPs
• Bayesian RL
• Predictive State Representations
• Policy Search
• Multi-Agent Systems and Game Theory

Theory:

• Information Theory
• Statistical Learning Theory
• Game Theory & Computational Economics
• Convergence Analysis
• Consistency
• Online Learning

Neuroscience:

• Motor Control
• Computational Neural Models
• Spiking Neurons
• Visual and Auditory Cortex
• Brain-computer Iinterfaces & Neural Prostheses
• Neural Populations
• Plasticity
• Neural Decoding
• Brain Imaging

Cognitive Science:

• Memory
• Inference & Reasoning
• Language
• Perception
• Executive Processes
• Response Time Modeling
• Model Comparison Methods
• Development
• Learning
• Attention
• Knowledge Representation & Acquisition
• Emotion and Cognition
• Reinforcement Learning
• Motor Control

Optimization:

• Gradient Methods
• Constrained optimization
• Convex Optimization
• Non-convex Optimization
• Combinatorial Optimization
• Convergence Analysis
• Stochastic methods

Vision:

• Biological Vision
• Visual Features
• Object Recognition
• Motion and Tracking
• 3D Reconstruction
• Machine Vision Applications
• Visual Processing
• Visual Perception
• Natural Scene Statistics
• Image Segmentation
• Image Coding

Speech and Signal Processing:

• Auditory Perception & Modeling
• Source Separation
• Speech Recognition
• Speaker Identification
• Audio and Speech Retrieval
• Music Modeling & Analysis
• Signal Processing

Robotics:

• Perception
• Planning and Motion Planning
• Exploration & Map Building
• Learning

Applications:

• Handwriting Recognition
• Information Retrieval
• Natural Language Processing
• Bioinformatics
• Systems Biology
• Graphics
• Collaborative Filtering
• Time Series Prediction
• Web Applications

Hardware:

• Neuromorphic Hardware
• Analog VLSI

Other Algorithms