Fwd: [aifin-worldwide] Call for Papers - IJCAI 2023 Workshop on AI in Finance

[水田孝信 (Takanobu MIZUTA)]

みなさま、

今年のIJICAI(8月にマカオで開催)のワークショップに"AI in Finance"というのがあるようです。

non-archivalとのこと。詳細は以下をご覧ください。

https://sites.google.com/view/ijcai-aif-2023/home

水田孝信 <https://mizutatakanobu.com/jindex.htm>
レポート書いてます！<https://www.sparx.co.jp/report/special/>

---------- Forwarded message ---------
From: Mahmoud Mahfouz <mahmoudma...@gmail.com>
Date: 2023年4月11日(火) 5:53
Subject: [aifin-worldwide] Call for Papers - IJCAI 2023 Workshop on AI in Finance
To: <aifin-w...@googlegroups.com>

IJCAI 2023 Workshop on AI in Finance: Bridging the Gap Between Theory and Practice

The 32nd International Joint Conference on Artificial Intelligence (IJCAI) 2023
August 19, 2023, Macao, S.A.R

Workshop website:                      https://sites.google.com/view/ijcai-aif-2023/home
Submission deadline:                  May 15, 2023 11:59 pm (Anywhere on Earth)
Acceptance notification:              May 29, 2023

The financial services industry presents significant challenges for AI methods to be applied due to the complexity of the data, the need for strict regulation compliance, explainable models, and the importance of trust and fairness. A lot of existing AI techniques cannot be utilized out-of-the box for a variety of reasons. For instance, financial time series data are notoriously hard to work with due to data non-stationarity, high dimensionality, low signal-to-noise ratio and long term dependencies. Another example is the use of reinforcement learning in finance where it has been shown to be highly challenging due to the inability to create high-fidelity simulators, high dimensional action spaces and the need for efficient training schemes, amongst others.

The workshop will invite high-quality research papers applying AI methods (see topic areas below) to a range of financial problems (see applications below). We are looking for innovative solutions that highlight under-explored AI methods that the financial community should be aware of. 

Topic Areas

The topics of interest will include, but are not limited to:

•     Reinforcement learning, Planning, Search, Constraint-based Reasoning & Optimization
•     Meta learning, Federated learning, Representation learning and Transfer learning
•     Generative models and data-driven simulation
•     Multi-agent systems, simulation, game theory & mechanism design
•     Natural language processing
•     Computer Vision
•     Graph theory and network analysis
•     Explainability, ethics, and fairness of AI & ML systems

Applications
The applications of interest for the workshop will include, but are not limited to:

•    Trading (Portfolio Management, Market Making, Optimal Trade Execution)
•     Financial time series analysis, forecasting and factor models
•     Knowledge discovery from unstructured data
•     Fraud detection for credit cards and mortgages
•     Asset pricing, valuation, risk modeling and management

Tutorials, Industry Challenges, Benchmarks, Datasets & Open-Source Software

• Tutorials: short tutorials from academic researchers that explain current solutions to challenges related to any of the topic areas, not necessarily limited to the financial domain. These tutorials will serve as an introduction and enable financial industry practitioners to employ/adapt latest academic research to their use-cases.
• Industry Challenges: short papers from financial industry practitioners that introduce domain specific problems and challenges to academic researchers. These papers should describe problems that can inspire new research directions in academia, and should serve to bridge the information gap between academia and the financial industry.
• Benchmarks: benchmark datasets and problems (e.g. in the form of OpenAI Gym environments) and open-source software for use by researchers and practitioners applying AI in finance.

Format:                    Papers must adhere to the IJCAI 2023 format and be no longer than 9 pages in total (7 pages for the body of the paper and 2 pages for references)
Template:                 IJCAI LaTeX template [https://www.ijcai.org/authors_kit]
Submission Link:    https://cmt3.research.microsoft.com/IJCAIAIF2023

Organizing Committee

• Mahmoud Mahfouz, J.P. Morgan AI Research, UK (primary organizer, email: mahmoud....@jpmchase.com)
• Stefan Zohren, University of Oxford, Alan Turing Institute and Man Group, UK
• Dhagash Mehta, BlackRock, USA
• Ash Booth, HSBC, UK
• Rahul Savani, University of Liverpool, UK
• Charese Smiley, J.P. Morgan AI Research, USA
• Sameena Shah, J.P. Morgan AI Research, USA
• Daniele Magazzeni, J.P. Morgan AI Research, UK