no code implementations • ICML 2020 • Maya Gupta, Erez Louidor, Oleksandr Mangylov, Nobu Morioka, Tamann Narayan, Sen Zhao
We propose new multi-input shape constraints across four intuitive categories: complements, diminishers, dominance, and unimodality constraints.
no code implementations • 2 Feb 2022 • Sen Zhao, Erez Louidor, Olexander Mangylov, Maya Gupta
We consider the problem of estimating a good maximizer of a black-box function given noisy examples.
no code implementations • ICLR 2021 • William Taylor Bakst, Nobuyuki Morioka, Erez Louidor
It is computationally challenging to learn flexible monotonic functions that guarantee model behavior and provide interpretability beyond a few input features, and in a time where minimizing resource use is increasingly important, we must be able to learn such models that are still efficient.