| Artificial Intelligence and Statistics Conference

Keywords

active learning

approximate inference

asymptotics, consistency

Bayesian methods

Bayesian nonparametrics

boosting

causality

clustering

computational learning theory

deep learning

discrete optimization

ensemble methods

feature selection

game theory and mechanism design

Gaussian processes

graphical models

information theory

kernel methods

large margin methods

large scale learning

matrix and tensor factorization

model selection

Monte Carlo methods

nonlinear embedding and manifold learning

online learning

optimization

reinforcement learning and control

semi-supervised learning

sparse estimation, compressed sensing

spectral methods

statistical learning theory

structured prediction

computational biology and genomics

computational neuroscience, cognitive modelling

computer vision

information systems, web processing

robotics, human-computer interaction

scientific data analysis

social and information networks

speech