Poster Session
in
Workshop: Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy
Posters and Open Discussions (see below for poster titles)
Ramya Malur Srinivasan · Miguel Perez · Yuanyuan Liu · Ben Wood · Dan Philps · Kyle Brown · Daniel Martin · Mykola Pechenizkiy · Luca Costabello · Rongguang Wang · Suproteem Sarkar · Sangwoong Yoon · Zhuoran Xiong · Enguerrand Horel · Zhu (Drew) Zhang · Ulf Johansson · Jonathan Kochems · Gregory Sidier · Prashant Reddy · Lana Cuthbertson · Yvonne Wambui · Christelle Marfaing · Galen Harrison · Irene Unceta Mendieta · Thomas Kehler · Mark Weber · Li Ling · Ceena Modarres · Abhinav Dhall · Arash Nourian · David Byrd · Ajay Chander · Xiao-Yang Liu · Hongyang Yang · Shuang (Sophie) Zhai · Freddy Lecue · Sirui Yao · Rory McGrath · Artur Garcez · Vangelis Bacoyannis · Alexandre Garcia · Lukas Gonon · Mark Ibrahim · Melissa Louie · Omid Ardakanian · Cecilia Sönströd · Kojin Oshiba · Chaofan Chen · Suchen Jin · aldo pareja · Toyo Suzumura
[
Abstract
]
2018 Poster Session
Abstract:
- Clustering and Learning from Imbalanced Data
- Deep Hedging: Hedging Derivatives Under Generic Market Frictions Using Reinforcement Learning
- Generating User-friendly Explanations for Loan Denials using GANs
- Practical Deep Reinforcement Learning Approach for Stock Trading
- Idiosyncrasies and challenges of data driven learning in electronic trading
- Machine learning-aided modeling of fixed income instruments
- An Interpretable Model with Globally Consistent Explanations for Credit Risk
- Continuous learning augmented investment decisions
- HELOC Applicant Risk Performance Evaluation by Topological Hierarchical Decomposition
- Looking Deeper into the Deep Learning Models: Attribution-based Explanations of TextCNN
- Matrix Regression and Its Applications in Cryptocurrency Trading
- Sensitivity based Neural Networks Explanations
- On the Need for Fairness in Financial Recommendation Engines
- Read the News, not the Books: Predicting Firms’ Financial Health
Live content is unavailable. Log in and register to view live content