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cs.LG2024
Bayesian Concept Bottleneck Models with LLM Priors
Jean Feng, Avni Kothari, Luke Zier +2
Concept Bottleneck Models (CBMs) have been proposed as a compromise between white-box and black-box models, aiming to achieve interpretability without sacrificing accuracy. The sta…
cs.LG2023★ 1 cited
Prediction without Preclusion: Recourse Verification with Reachable Sets
Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng +1
Machine learning models are often used to decide who receives a loan, a job interview, or a public benefit. Models in such settings use features without considering their actionabi…