Search Results for author: Kevin Kuo

Found 7 papers, 4 papers with code

ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning

no code implementations13 Oct 2020 Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-Yeh Chiang, Tom Goldstein, John P. Dickerson

Inspired by these advances, in this paper, we extend techniques for approximating auctions using deep learning to address concerns of fairness while maintaining high revenue and strong incentive guarantees.

Fairness

Evaluating a Bi-LSTM Model for Metaphor Detection in TOEFL Essays

no code implementations WS 2020 Kevin Kuo, Marine Carpuat

However, the Bi-LSTM models lag behind the best performing systems in the shared task.

Towards Explainability of Machine Learning Models in Insurance Pricing

3 code implementations24 Mar 2020 Kevin Kuo, Daniel Lupton

Machine learning methods have garnered increasing interest among actuaries in recent years.

Individual Claims Forecasting with Bayesian Mixture Density Networks

1 code implementation5 Mar 2020 Kevin Kuo

We introduce an individual claims forecasting framework utilizing Bayesian mixture density networks that can be used for claims analytics tasks such as case reserving and triaging.

Generative Synthesis of Insurance Datasets

3 code implementations5 Dec 2019 Kevin Kuo

One of the impediments in advancing actuarial research and developing open source assets for insurance analytics is the lack of realistic publicly available datasets.

DeepTriangle: A Deep Learning Approach to Loss Reserving

3 code implementations24 Apr 2018 Kevin Kuo

We propose a novel approach for loss reserving based on deep neural networks.

Feature Engineering

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