no code implementations • 26 Oct 2023 • Georgy Noarov, Ramya Ramalingam, Aaron Roth, Stephan Xie
We study the problem of making predictions of an adversarially chosen high-dimensional state that are unbiased subject to an arbitrary collection of conditioning events, with the goal of tailoring these events to downstream decision makers.
1 code implementation • 30 Sep 2022 • Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth
Multivalid coverage guarantees are stronger than marginal coverage guarantees in two ways: (1) They hold even conditional on group membership -- that is, the target coverage level $1-\alpha$ holds conditionally on membership in each of an arbitrary (potentially intersecting) group in a finite collection $\mathcal{G}$ of regions in the feature space.
1 code implementation • 2 Jun 2022 • Osbert Bastani, Varun Gupta, Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth
It is computationally lightweight -- comparable to split conformal prediction -- but does not require having a held-out validation set, and so all data can be used for training models from which to derive a conformal score.
1 code implementation • 25 Mar 2021 • Joao Marcos Correia Marques, Ramya Ramalingam, Zherong Pan, Kris Hauser
UV radiation has been used as a disinfection strategy to deactivate a wide range of pathogens, but existing irradiation strategies do not ensure sufficient exposure of all environmental surfaces and/or require long disinfection times.