{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/efficient-high-order-interaction-aware","title":"Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information","arxiv_id":null,"date":"2016-12-01","proceeding":"NeurIPS 2016 12","authors":["Alexander Shishkin","Anastasia Bezzubtseva","Alexey Drutsa","Ilia Shishkov","Ekaterina Gladkikh","Gleb Gusev","Pavel Serdyukov"],"abstract":"This study introduces a novel feature selection approach CMICOT, which is a further evolution of filter methods with sequential  forward selection (SFS) whose scoring functions are based on conditional mutual information (MI). We state and study a novel saddle point (max-min) optimization problem to build a scoring function that is able to identify joint interactions between several  features. This method fills the gap of MI-based SFS techniques with high-order dependencies. In this high-dimensional case, the estimation of MI has prohibitively high sample complexity. We mitigate this cost using a greedy approximation and binary representatives what makes our technique able to be effectively used. The superiority of our approach is demonstrated by comparison with recently proposed interaction-aware filters and several interaction-agnostic state-of-the-art ones on ten publicly available benchmark datasets.","url_abs":"http://papers.nips.cc/paper/6584-efficient-high-order-interaction-aware-feature-selection-based-on-conditional-mutual-information","url_pdf":"http://papers.nips.cc/paper/6584-efficient-high-order-interaction-aware-feature-selection-based-on-conditional-mutual-information.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"efficient-high-order-interaction-aware","repo_url":"https://github.com/yandex/CMICOT","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"feature-selection","task_name":"feature selection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}