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Multidimensional Shape Constraints
We propose new multi-input shape constraints across four intuitive categories: complements, diminishers, dominance, and unimodality constraints.
Global Optimization Networks
We consider the problem of estimating a good maximizer of a black-box function given noisy examples.
Monotonic Kronecker-Factored Lattice
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.
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