1 citations · 3 across the 8 of their papers we have counts for
5 papers · 1 filter
Intersectional Fairness via Mixed-Integer Optimization
Jiří Němeček, Mark Kozdoba, Illia Kryvoviaz +2
The deployment of Artificial Intelligence in high-risk domains, such as finance and healthcare, necessitates models that are both fair and transparent. While regulatory frameworks,…
Tractable Probabilistic Models for Investment Planning
Nicolas M. Cuadrado A., Mohannad Takrouri, Jiří Němeček +2
Investment planning in power utilities, such as generation and transmission expansion, requires decisions under substantial uncertainty over decade--long horizons for policies, dem…
Plausible Counterfactual Explanations of Recommendations
Jakub Černý, Jiří Němeček, Ivan Dovica +1
Explanations play a variety of roles in various recommender systems, from a legally mandated afterthought, through an integral element of user experience, to a key to persuasivenes…
Bias Detection via Maximum Subgroup Discrepancy
Jiří Němeček, Mark Kozdoba, Illia Kryvoviaz +2
Bias evaluation is fundamental to trustworthy AI, both in terms of checking data quality and in terms of checking the outputs of AI systems. In testing data quality, for example, o…
Improving the Validity of Decision Trees as Explanations
Jiri Nemecek, Tomas Pevny, Jakub Marecek
In classification and forecasting with tabular data, one often utilizes tree-based models. Those can be competitive with deep neural networks on tabular data and, under some condit…