We use Bayesian Optimization to improve dry cooling systems for concentrated solar power plants, making them more cost-competitive.
We develop a novel neural architecture with an exact bound on its Lipschitz constant. The model can be made monotonic in any subset of its features. This inductive bias is especially important for fairness and interpretability considerations.
Moment Decorrelation (MoDe) is a tool designed to ensure that a model's output remains uncorrelated with certain parameters, commonly termed as protected attributes in fairness contexts. Beyond mere decorrelation, MoDe can even shape the output of a model to adopt linear or quadratic relationships with any input/protected attribute.