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12/24/2022
Novel scaling law governing stock price dynamics
A stock market is typically modeled as a complex system where the purcha...
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05/06/2020
Interpretable Learning-to-Rank with Generalized Additive Models
Interpretability of learning-to-rank models is a crucial yet relatively ...
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10/25/2019
Toward a better trade-off between performance and fairness with kernel-based distribution matching
As recent literature has demonstrated how classifiers often carry uninte...
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06/24/2019
Transfer of Machine Learning Fairness across Domains
If our models are used in new or unexpected cases, do we know if they wi...
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03/02/2019
Fairness in Recommendation Ranking through Pairwise Comparisons
Recommender systems are one of the most pervasive applications of machin...
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01/14/2019