Search Results for author: Christine Herlihy

Found 2 papers, 1 papers with code

Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting

no code implementations14 Jun 2021 Christine Herlihy, Aviva Prins, Aravind Srinivasan, John P. Dickerson

Restless and collapsing bandits are often used to model budget-constrained resource allocation in settings where arms have action-dependent transition probabilities, such as the allocation of health interventions among patients.

Fairness

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain

1 code implementation ACL 2021 Christine Herlihy, Rachel Rudinger

Crowdworker-constructed natural language inference (NLI) datasets have been found to contain statistical artifacts associated with the annotation process that allow hypothesis-only classifiers to achieve better-than-random performance (Poliak et al., 2018; Gururanganet et al., 2018; Tsuchiya, 2018).

Natural Language Inference

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