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International Conference on Frontiers of Artificial Intelligence and Statistics

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When :  2022-12-16

Where :  Beijing (online), China

Submission Deadline :  2022-12-05

Categories :   Algorithms ,  Information Technology Management ,  Embedded Systems   

https://www.cfais.org/

International Conference on Frontiers of Artificial Intelligence and Statistics(CFAIS 2022)

December 16 - 18 , 2022, Beijing (online), China.

Scope & Topics

International Conference on Frontiers of Artificial Intelligence and Statistics(CFAIS 2022) shall be held from A December 16 - 18 , 2022, Beijing (online), China. via hybrid mode. will be a global platform where enthusiastic researches, policymakers, engineers and intellectual scholars gathering and thinking for a common purpose of identifying the challenges and issues in Artificial Intelligence and Statistics to solve the particular issues by their combined research findings. The event will be inaugurated in Beijing, the world's most populous national capital city. As the cultural, educational, and political center of China, it perfectly combines skyscrapers and tradition architectures, and brings a picture of modernity and antiquity. I hope all of you will enjoy the magnificent sights and bring a memorable experience home.

Topics of Interest :

  • 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
  • Causality
  • Nonparametric models
  • Classification
  • Regression
  • Clustering
  • 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

    Paper Submission

    Submit your contributions to Electronic Submission System; ( .pdf only).

    Note: If you are interested in special sessions, after submission via system, please mail this to cfais@hksra.org.

    Important Dates

    Submission Deadline: December 05, 2022
    Authors Notification: December 10, 2022
    Final Manuscript Due: December 15, 2022

User Name : austin
Posted 15-11-2022 on 17:33:26 AEDT


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