Oral Presentations: Fairness, Explainability and Trustworthiness

Dec 13, 2019

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Robust AI in FS 2019 - DECO: Debiasing through Compositional Optimization of Machine Learning Models - Fairness Assessment for Artificial Intelligence in Financial Industry - Using Bayes Factors to Control for Fairness A Case Study on Learning To Rank - Forecasting Firm Material Event Sequences from SEC 8-K Reports: A Transformer Model - Modeling A/B Test Data is Hard: Effects of Overdispersion, Random Walks, and Cointegration - Explainable Small Business Credit Scoring - Adversarial Learning of Deepfakes in Accounting - Imperceptible Adversarial Attacks on Tabular Data - Subpopulation Data Poisoning Attacks

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About NIPS 2019

Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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