Call for papers

We invite submissions on a wide range of research topics, spanning both theoretical and systems research. The topics of interest include, but are not limited to:

Please download the CFP flyer here(Click)

Algorithms and architectures for high-performance computation

Manifolds and embedding

Approximate inference

Multi-agent systems

Bayesian models and estimation

No-regret learning

Business Process Intelligence

Non-Bayesian models and estimation


Nonparametric models




Reinforcement learning, planning, control

Deep learning including optimization

Relational learning

Density estimation

Software for and applications of AI and statistics

Game theory

Solicited topics

Gaussian processes

Sparsity and compressed sensing

Generalization and architectures

Statistical and computational learning theory

Graphical models

Structured prediction 

Including learning with privacy and fairness

Topic models

Interpretability and robustness

Trustworthy learning

Kernel methods

Unsupervised and semi-supervised learning

Logic and probability