Call for Papers

Machine Learning and Optimization are both important in the field of computer science. The interplay between them plays an important role and has been well studied during these years. The Seventh Annual Conference on Machine Learning and Optimization (MLO 2024) will be held during May 17-19, 2024 in Lanzhou, Gansu Province, China. The purpose of the conference is to gather high-level scholars and experts from the Computer Science Societies to conduct academic exchanges and discussions on the original research in the areas of machine learning and optimization. Original research papers in the areas of Machine Learning and Optimization are solicited. Special consideration will be given to research that is motivated by real-world optimization problems.

      The topics include, but are not limited to:

· Algorithmic Game Theory

· Algorithms and Computational Complexity

· Combinatorial Optimization

· Exact and Approximation Algorithms for Big Data

· Graph Theory and Graph Algorithms

· Mobile Computing Network

· Optimization in Learning Theory

· Parallel and Distributed Algorithms

· Probabilistic Methods for Big Data

· Scheduling

· Social Network Analysis

· Submodular Optimization

     Important Dates

· Abstract Submission: April 17, 2024 April 24, 2024

· Notification of Decision: May 10, 2024

      Paper Submission

· Every submission requires only an abstract submission

· All abstracts should be written in clear English

· Submission link: https://cmt3.research.microsoft.com/MLO2024

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      Publication

INTERNATIONAL JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE (IJFCS)

TSINGHUA SCIENCE AND TECHNOLOGY (TST)

Publications will be continuously updated