Im, Sungjin
Moseley, Benjamin
Xu, Chenyang
Zhang, Ruilong
Chapter History
First Online: 18 September 2023
Ethical Issues
: The current paper is a theoretical work that explores various ideas and concepts related to the topic which aims to strengthen the traditional worst-case algorithm via machine learning advice. As such, there are no ethical issues associated with the research presented here. The paper includes some experiments which aims to verify the efficiency of the proposed algorithms. But this paper does not involve any experiments or studies that involve human and no personal information or data is used in the analysis. Instead, the focus is on developing theoretical models and frameworks that can help to advance our understanding of the subject matter.
Conference Information
Conference Acronym: ECML PKDD
Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference City: Turin
Conference Country: Italy
Conference Year: 2023
Conference Start Date: 18 September 2023
Conference End Date: 22 September 2023
Conference Number: 23
Conference ID: ecml2023
Conference URL: https://2023.ecmlpkdd.org/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: CMT
Number of Submissions Sent for Review: 829
Number of Full Papers Accepted: 196
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 3.63
Average Number of Papers per Reviewer: 4.5
External Reviewers Involved: Yes
Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.