2nd KDD Workshop on Uncertainty Reasoning and Quantification in Decision Making

August 7th, 2023, Long Beach, CA

Important Dates

Following are the proposed important dates for the workshop. All deadlines are due Anywhere on Earth (AoE).

• Paper submission deadline: May 23rd, 2023, June 7th, 2023.
• Paper review begins: May 24th, 2023, June 8th, 2023.
• Paper review due: June 21th, 2023.
• Notification of decision: June 23th, 2023.
• Camera-ready due: July 27th, 2023.
• Workshop date: August 7th, 2023.

Topic of interest (including but not limited to)

This workshop will provide a premium platform for both research and industry from different backgrounds to exchange ideas on opportunities, challenges, and cutting-edge techniques in ethical AI. We encourage submissions in various degrees of progress, such as new results, visions, techniques, innovative application papers, and progress reports under the topics that include, but are not limited to, the following broad categories:

• Uncertainty quantification in classification and regression
• Out-of-distribution detection
• Conditional reasoning with uncertainty
• Quantification of multidimensional uncertainty
• Sequential uncertainty estimation
• Interpretation of uncertainty
• Uncertainty-aware deep reinforcement learning
• Decision-making with uncertainty

And with particular focuses but not limited to these application domains:

• Application of uncertainty methods in large-scale data mining
• Computer vision (uncertainty in face recognition, object relation)
• Natural language processing (language uncertainty, sentence uncertainty)
• Reinforcement learning (uncertainty-aware offline reinforcement learning exploration vs. exploitation)

CFP Guidelines

Submissions are limited to a total of 5 pages, including all content and references, and must be in PDF format and use ACM Conference Proceeding templates (two-column format). Acknowledgements should be omitted from papers submitted for review. One recommended setting for a Latex file of an anonymous manuscript is: \documentclass[sigconf, anonymous, review]{acmart}. Template guidelines are here: https://www.acm.org/publications/proceedings-template . Following this KDD conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed.

Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well-executed, and repeatable. Authors are strongly encouraged to make data and code publicly available whenever possible. The accepted papers will be posted on the workshop website but will not be included in the AAAI proceedings.

Submit your paper through the UDM-KDD workshop CMT submission site: https://cmt3.research.microsoft.com/UDMKDD2023

Upon notification, we ask that authors of accepted works deanonymize their papers, make any final changes, and then submit a camera-ready version to the CMT submission site. The workshop website will then be updated with links to accepted papers. Note that accepted works will not be formally published. This means that:

• Authors can retain full copyright of their works
• Work contained in accepted papers are not precluded to be published in other research venues
• Submitted papers are allowed to have significant overlap with previously published or currently submitted work (in this case, please indicate overlapping works).

Any questions may be directed to the email address: zhaoxuj32@gmail.com or/and charliezhaoyinpeng@gmail.com

Attendance

For each accepted paper, at least one author must attend the conference and present the paper.