ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models
Counterfactual examples (CFs) are one of the most popular methods for attaching post-hoc
explanations to machine learning (ML) models. However, existing CF generation methods …
explanations to machine learning (ML) models. However, existing CF generation methods …
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models
Z Chen, F Silvestri, J Wang, H Zhu, H Ahn… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Counterfactual examples (CFs) are one of the most popular methods for attaching post-hoc
explanations to machine learning (ML) models. However, existing CF generation methods …
explanations to machine learning (ML) models. However, existing CF generation methods …
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models
Z Chen, F Silvestri, J Wang, H Zhu, H Ahn… - arXiv preprint arXiv …, 2021 - arxiv.org
Counterfactual examples (CFs) are one of the most popular methods for attaching post-hoc
explanations to machine learning (ML) models. However, existing CF generation methods …
explanations to machine learning (ML) models. However, existing CF generation methods …
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models
Z Chen, F Silvestri, J Wang, H Zhu… - … on Information and …, 2022 - researchwithrutgers.com
Counterfactual examples (CFs) are one of the most popular methods for attaching post-hoc
explanations to machine learning (ML) models. However, existing CF generation methods …
explanations to machine learning (ML) models. However, existing CF generation methods …
[PDF][PDF] ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models
Z Chen, F Silvestri, J Wang, H Zhu, H Ahn, G Tolomei - 2022 - herowanzhu.github.io
Counterfactual examples (CFs) are one of the most popular methods for attaching post-hoc
explanations to machine learning (ML) models. However, existing CF generation methods …
explanations to machine learning (ML) models. However, existing CF generation methods …
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models
Z Chen, F Silvestri, J Wang, H Zhu, H Ahn… - … on Information and …, 2022 - iris.uniroma1.it
Counterfactual examples (CFs) are one of the most popular methods for attaching post-hoc
explanations to machine learning (ML) models. However, existing CF generation methods …
explanations to machine learning (ML) models. However, existing CF generation methods …
ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models
Z Chen, F Silvestri, J Wang, H Zhu… - … on Information and …, 2022 - scholar.xjtlu.edu.cn
Counterfactual examples (CFs) are one of the most popular methods for attaching post-hoc
explanations to machine learning (ML) models. However, existing CF generation methods …
explanations to machine learning (ML) models. However, existing CF generation methods …
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models
Z Chen, F Silvestri, J Wang, H Zhu, H Ahn, G Tolomei - 2022 - europepmc.org
Counterfactual examples (CFs) are one of the most popular methods for attaching post-hoc
explanations to machine learning (ML) models. However, existing CF generation methods …
explanations to machine learning (ML) models. However, existing CF generation methods …