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12/17/2022
On Noisy Evaluation in Federated Hyperparameter Tuning
Hyperparameter tuning is critical to the success of federated learning a...
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04/08/2021
Embeddings and Attention in Predictive Modeling
We explore in depth how categorical data can be processed with embedding...
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10/13/2020
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
The design of revenue-maximizing auctions with strong incentive guarante...
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03/31/2020
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
Japanese character figurines are popular and have pivot position in Otak...
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03/24/2020
Towards Explainability of Machine Learning Models in Insurance Pricing
Machine learning methods have garnered increasing interest among actuari...
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03/05/2020
Individual Claims Forecasting with Bayesian Mixture Density Networks
We introduce an individual claims forecasting framework utilizing Bayesi...
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12/05/2019
Generative Synthesis of Insurance Datasets
One of the impediments in advancing actuarial research and developing op...
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04/24/2018