On the computation of counterfactual explanations -- A survey

Type: Preprint

Publication Date: 2019-11-15

Citations: 17

Locations

  • arXiv (Cornell University) - View

Similar Works

Action Title Year Authors
+ On the computation of counterfactual explanations -- A survey 2019 André Artelt
Barbara Hammer
+ Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review 2020 Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan Hines
John P. Dickerson
Chirag Shah
+ PDF Chat Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review 2024 Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan Hines
John P. Dickerson
Chirag Shah
+ Counterfactual Explanations for Machine Learning: A Review. 2020 Sahil Verma
John P. Dickerson
Keegan Hines
+ A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data 2021 Raphael Mazzine
David Martens
+ PDF Chat A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data 2021 Raphael Oliveira
David Martens
+ PDF Chat Generating Counterfactual Explanations Using Cardinality Constraints 2024 Rubén Ruiz-Torrubiano
+ PDF Chat Robust Counterfactual Explanations in Machine Learning: A Survey 2024 Junqi Jiang
Francesco Leofante
Antonio Rago
Francesca Toni
+ PDF Chat Robust Counterfactual Explanations in Machine Learning: A Survey 2024 Junqi Jiang
Francesco Leofante
Antonio Rago
Francesca Toni
+ CARE: Coherent Actionable Recourse based on Sound Counterfactual Explanations 2021 Peyman Rasouli
Ingrid Chieh Yu
+ Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications 2021 Yu-Liang Chou
Catarina Moreira
Peter Bruza
Chun Ouyang
Joaquim Jorge
+ PDF Chat Efficient computation of contrastive explanations 2021 André Artelt
Barbara Hammer
+ Efficient computation of contrastive explanations 2020 André Artelt
Barbara Hammer
+ Efficient computation of contrastive explanations 2020 André Artelt
Barbara Hammer
+ MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation 2022 Wenzhuo Yang
Jia Li
Caiming Xiong
Steven C. H. Hoi
+ Multi-Objective Counterfactual Explanations 2020 Susanne Dandl
Christoph Molnar
Martin Binder
Bernd Bischl
+ PDF Chat Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization 2025 Keita Kinjo
+ CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms 2021 Martin Pawelczyk
Sascha Bielawski
Johannes van den Heuvel
Tobias Richter
Gjergji Kasneci
+ CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms 2021 Martin Pawelczyk
Sascha Bielawski
Johannes van den Heuvel
Tobias Richter
Gjergji Kasneci
+ Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis 2021 Martin Pawelczyk
Chirag Agarwal
Shalmali Joshi
Sohini Upadhyay
Himabindu Lakkaraju