Covert, Ian

7 publications

NeurIPS 2024 Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert, Chanwoo Kim, Su-In Lee, James Zou, Tatsunori Hashimoto

NeurIPS 2023 Feature Selection in the Contrastive Analysis Setting Ethan Weinberger, Ian Covert, Su-In Lee

NeurIPS 2023 On the Robustness of Removal-Based Feature Attributions Chris Lin, Ian Covert, Su-In Lee

ICCV 2023 What Does a Platypus Look like? Generating Customized Prompts for Zero-Shot Image Classification Sarah Pratt, Ian Covert, Rosanne Liu, Ali Farhadi

AISTATS 2021 Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression Ian Covert, Su-In Lee

JMLR 2021 Explaining by Removing: A Unified Framework for Model Explanation Ian Covert, Scott Lundberg, Su-In Lee

NeurIPS 2020 Understanding Global Feature Contributions with Additive Importance Measures Ian Covert, Scott M Lundberg, Su-In Lee