45 citations · 78 across the 6 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.GT2020★ 8 cited
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
Kevin Kuo, Anthony Ostuni, Elizabeth Horishny +5
The design of revenue-maximizing auctions with strong incentive guarantees is a core concern of economic theory. Computational auctions enable online advertising, sourcing, spectru…
q-fin.RM2020★ 9 cited
Towards Explainability of Machine Learning Models in Insurance Pricing
Kevin Kuo, Daniel Lupton
Machine learning methods have garnered increasing interest among actuaries in recent years. However, their adoption by practitioners has been limited, partly due to the lack of tra…
stat.AP2020★ 8 cited
Individual Claims Forecasting with Bayesian Mixture Density Networks
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.…