Assistant Professor Calls for Submissions to Special Edition Machine Learning Journal

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Submit your research to Entropy, an open access journal by MDPI

Calling all machine learning researchers! Lu Zhang, assistant professor in the Department of Electrical Engineering and Computer Science, is guest-editing a special issue on "Machine Learning and Causal Inference" to be published in the journal Entropy.

This special issue focuses on theoretical and methodological research that is relevant to any intersection of causality and machine learning. The special issue encourages submissions of original papers on topics including, but not limited to: causal discovery, causal inference, counterfactual inference, graphical models, fair AI, explainable AI, transfer learning, causal representation learning, machine learning for decision-making, recommender systems, computer vision and natural language processing.

Zhang invites students, faculty and staff researchers alike to contribute an original manuscript for consideration and possible publication in this special issue. The submission deadline is Jan. 30, 2024. Submitted papers should not be under consideration for publication elsewhere.

Entropy is an open-access journal that maintains a rigorous and fast peer-review system, and accepted papers are immediately published online.

For further details about the submission process, please see the instructions for authors at the journal website.

Feel free to distribute this call for papers to colleagues and collaborators with relevant backgrounds and interests.