Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms

31 May 2024

Papers citing "Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms"

6 / 6 papers shown

Title
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 81 36 0 22 Jan 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu Fang Yao Qiuran Yao Huiming Zhang 57 10 0 10 Jan 2022
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 204 45 0 08 Feb 2020
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 126 946 0 20 Jun 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 115 2,360 0 01 Nov 2017
Rates of convergence in active learning Steve Hanneke 128 153 0 09 Mar 2011