KDD MLF 2022: KDD Workshop on Machine Learning in Finance KDD Washington DC, DC, United States, August 14-18, 2022 |
Conference website | https://sites.google.com/view/kdd-mlf-2022 |
Submission link | https://easychair.org/conferences/?conf=kddmlf2022 |
The financial industry leverages machine learning in more ways than just finding the right alpha signal. It grapples with supply chains, business processes, marketing, churn, fraud and money laundering, all while maintaining compliance with the various regulatory frameworks it is beholden to.
Due to the sheer volume of wealth being handled by the financial industry and its ubiquitous role in everyday life, it has been a lucrative target for a wide spectrum of ever-evolving bad actors. With each successive iteration of this workshop, we have attempted to capture the breadth of these actors - fraudsters, money launderers, market manipulators and potentially nation-state level risks.
With the advent of multimodal machine learning techniques, the fusion of signals from conventional tabular datasets, time-series, free-text articles and earnings reports, images and networks, has de-siloed decision making to an unprecedented degree. This deluge of actionable information combined with easily available high performance commodity computing resources has significantly lowered the capital expenditure landscape in the industry.
We are seeing an increased adoption in decentralized finance (DeFi) which has launched the industry into Web 3.0. Along with this step change come several advantages of anonymity, speed and decoupling from fiat currency, but it is also laden with extreme risks and potential for criminal activity in a highly unregulated space. Through this workshop, we would like to continue to explore the applications of machine learning in this rapidly evolving domain.
The purpose of this workshop is to bring together researchers and practitioners to discuss both the problems faced by the financial industry and potential solutions. We plan to invite regular papers, positional papers and extended abstracts of work in progress. We will also encourage short papers from financial industry practitioners that introduce domain specific problems and challenges to academic researchers. This event will be the fifth in a sequence of finance related workshops we have organized at KDD. The first workshop was held at KDD 2017, the second workshop at KDD 2019, the third workshop at KDD 2020 and the fourth workshop at KDD 2021.
We invite papers on machine learning and AI with applications to the financial industry. Topics of interest include, but are not limited to, the following:
- Mining for signals in financial data
- Vetting and sourcing data for high-stakes decision making
- Transfer learning from Time Series, Recommendation Systems, Reinforcement Learning, Network Science, Image Processing etc
- Patterns and anti-patterns in early-detection
- Multi modal machine learning in practice
- Sensor fusion approaches in the use of alternative data
- Use cases like marketing, anomaly detection, churn prevention, etc
- Generating synthetic data for privacy preservation, data sharing, robustness, etc
- Detecting bad actors and activity in financial data
- Detecting anomalies at large in unsupervised/semi-supervised settings
- Active learning strategies in noisy and uncertain environments. Reinforcement learning strategies and their applications to gather ground truth
- Model calibration, stability and adaptiveness trade-offs
- Insider trading
- Fraud and abuse
- Cyber threats
- Money Laundering
- Compliance violations
- Model Explainability & Governance
- Role of explainability in several verticals, markets
- Deployed and vetted applications with explainability
- Fairness
- Fairness in the context of finance - lending and beyond!
- Privacy preservation
- Reassessing credit in the conventional sense
- Role of DeFi in fairness
- Market Manipulation
- Analysis of limit order book feeds
- Fake news and other noisy social signal ingestion challenges
- Robustness to adversarial actors
- Crypto and DeFi
- Specific challenges and analysis of high risk domains
- Best practices to thwart bad actors and stay compliant with an in-flux regulatory landscape
Submission Guidelines
We welcome multiple kinds of papers, including but not limited to:
- Novel research papers
- Demo papers
- Work-in-progress papers
- Visionary papers (white papers)
- Appraisal papers of existing methods and tools (e.g., lessons learned)
Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions.
All submissions must be PDFs formatted in the Standard ACM Conference Proceedings Template. Submissions are limited to 8 content pages or less, including all figures and tables but excluding references. All accepted papers will be presented as posters and some would be selected for oral presentations, depending on schedule constraints. Accepted papers will be posted on the workshop website.
Following the KDD conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed.
Papers should be submitted on the submission website by May 26th, 2022 June 1, 2022 11:59 PM Pacific Time
Organizing committee
- Leman Akoglu (CMU)
- Nitesh Chawla (University of Notre Dame)
- Senthil Kumar (Capital One)
- Vidyut Naware (PayPal)
- Tanveer Faruquie (Capital One)
- Saurabh Nagrecha (eBay Inc)
Venue
The workshop will be held in conjunction with KDD 2022 (https://www.kdd.org/kdd2022/)
Contact
Saurabh Nagrecha: saurabh.nagrecha+mlf2022@gmail.com
Follow the twitter account: https://twitter.com/financekdd