Probabilistic Models and Methods:
o Graphical Models
o Mixture Models
o Gaussian Processes
o Bayesian Methods
o Exact and Approximate Inference
o Variational Methods
o Belief Propagation
o Monte Carlo Methods
o Model Selection & Structure Learning
o Density Estimation
o Causal Inference
o Missing Data
o Temporal Models and Sequence Data
o Structured and Relational Data
Robotics and Control:
o Perception
o Planning and Motion Planning
o Control
o
o Learning
Acting and Decision Making:
o Reinforcement Learning
o Markov Decision Processes
o Planning and Decision Making
o POMDPs
o Bayesian RL
o Predictive State Representations
o Policy Search
o Multi-Agent Systems and Game Theory
Applications:
o Signal Processing
o Handwriting Recognition
o Information Retrieval
o Natural Language Processing
o Bioinformatics
o Graphics
o Collaborative Filtering
o Time Series Prediction
o Web Applications
Optimization:
o Gradient Methods
o Constrained optimization
o Convex Optimization
o Non-convex Optimization
o Combinatorial optimization
o Convergence Analysis
o Stochastic methods
Supervised Learning:
o Large Margin Methods
o Classification
o Regression
o Kernel Methods
o Model Selection
o Ensemble Methods and Boosting
o Neural Networks
o Sparsity and Feature Selection
o Learning with Structured Data
Unsupervised and Semi-supervised
Learning:
o Clustering
o Similarity and Distance Learning
o Transduction Learning
o Embeddings and Manifold Learning
o Active Learning
o Spectral Methods
o
o Topic Models
o Matrix Factorization
o Anomaly Detection
Theory:
o Information Theory
o Statistical Learning Theory
o Game Theory & Computational Economics
o Convergence Analysis
o Consistency
o Online Learning
Neuroscience:
o Motor Control
o Computational Neural Models
o Spiking Neurons
o Visual and Auditory Cortex
o Brain-computer Iinterfaces & Neural
Prostheses
o Neural Populations
o Plasticity
o Neural Decoding
o Brain Imaging
Vision:
o Biological Vision
o Visual Features
o Object Recognition
o Motion and Tracking
o 3D Reconstruction
o Machine Vision Applications
o Visual Processing
o Visual Perception
o Natural Scene Statistics
o Image Segmentation
o Image Coding
Speech and Signal Processing
o Auditory Perception & Modeling
o Source Separation
o Speech Recognition
o Speaker Identification
o Audio and Speech Retrieval
o Music Modeling & Analysis
o Signal Processing
Cognitive Science
o Memory
o Inference & Reasoning
o Language
o
Perception
o Executive Processes
o Response Time Modeling
o Model Comparison Methods
o Development
o Learning
o Attention
o Knowledge Representation & Acquisition
o Emotion and Cognition
o Reinforcement Learning
o Motor Control
Hardware:
o Neuromorphic Hardware
o Analog VLSI
Other Algorithms
Quick links:
Home
Call for Papers
Author and submission instructions
Style files
Paper submission site
Paper evaluation criteria
Reviewer instructions
Questions?
Comments? Please send email to nips07 AT cs.stanford.edu (non-standard form used
to prevent spam).