Actionable Recourse in Linear Classification

18 September 2018

Yang Liu

Papers citing "Actionable Recourse in Linear Classification"

50 / 147 papers shown

Title
From Search To Sampling: Generative Models For Robust Algorithmic Recourse Prateek Garg Lokesh Nagalapatti Sunita Sarawagi 36 0 0 12 May 2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on sample clustering features Jialei Song Xingquan Zuo Feiyang Wang Hai Huang Tianle Zhang AAML 166 0 0 16 Apr 2025
Flexible Counterfactual Explanations with Generative Models Stig Hellemans Andres Algaba Sam Verboven Vincent Ginis 33 0 0 24 Feb 2025
Understanding Fixed Predictions via Confined Regions Connor Lawless Tsui-Wei Weng Berk Ustun Madeleine Udell 48 0 0 22 Feb 2025
Generating Causally Compliant Counterfactual Explanations using ASP Sopam Dasgupta CML 89 0 0 13 Feb 2025
Model-Free Counterfactual Subset Selection at Scale Minh Nguyen Viet Hung Doan Anh Tuan Nguyen Jun Jo Quoc Viet Hung Nguyen LRM 57 0 0 12 Feb 2025
Graph Counterfactual Explainable AI via Latent Space Traversal Andreas Abildtrup Hansen Paraskevas Pegios Anna Calissano Aasa Feragen OOD BDL AAML 85 0 0 15 Jan 2025
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon Anneke Wernerfelt Sorelle A. Friedler Berk Ustun FaML FAtt 45 0 0 29 Oct 2024
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 40 1 0 18 Oct 2024
Time Can Invalidate Algorithmic Recourse Giovanni De Toni Stefano Teso Bruno Lepri Andrea Passerini 37 0 0 10 Oct 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 35 1 0 22 Sep 2024
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang Peng Wang Tong Zhou Yushun Dong Zhen Tan Jundong Li CoGe 63 7 0 02 Jul 2024
An Actionability Assessment Tool for Explainable AI Ronal Singh Tim Miller L. Sonenberg Eduardo Velloso F. Vetere Piers Howe Paul Dourish 27 2 0 19 Jun 2024
Trustworthy Actionable Perturbations Jesse Friedbaum Sudarshan Adiga Ravi Tandon AAML 38 2 0 18 May 2024
Learning Actionable Counterfactual Explanations in Large State Spaces Keziah Naggita Matthew R. Walter Avrim Blum OffRL 33 0 0 25 Apr 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 59 1 0 08 Mar 2024
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? Saugat Aryal Mark T. Keane 34 4 0 01 Mar 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei Karthikeyan N. Ramamurthy FAtt 40 2 0 17 Feb 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 21 2 0 16 Feb 2024
Collective Counterfactual Explanations via Optimal Transport A. Ehyaei Ali Shirali Samira Samadi OffRL OT 28 1 0 07 Feb 2024
Counterfactual Generation with Answer Set Programming Sopam Dasgupta Farhad Shakerin Joaquín Arias Elmer Salazar Gopal Gupta 19 1 0 06 Feb 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity Andrew Bell Joao Fonseca Carlo Abrate Francesco Bonchi Julia Stoyanovich FaML 33 2 0 29 Jan 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Jakub Marecek TPM 76 0 0 25 Jan 2024
Distributional Counterfactual Explanations With Optimal Transport Lei You Lele Cao Mattias Nilsson Bo Zhao Lei Lei OT OffRL 25 1 0 23 Jan 2024
Evaluating and Mitigating Discrimination in Language Model Decisions Alex Tamkin Amanda Askell Liane Lovitt Esin Durmus Nicholas Joseph Shauna Kravec Karina Nguyen Jared Kaplan Deep Ganguli 38 68 0 06 Dec 2023
Endogenous Macrodynamics in Algorithmic Recourse Patrick Altmeyer Giovan Angela Aleksander Buszydlik Karol Dobiczek A. V. Deursen Cynthia C. S. Liem 32 7 0 16 Aug 2023
Explaining Black-Box Models through Counterfactuals Patrick Altmeyer A. V. Deursen Cynthia C. S. Liem CML LRM 39 2 0 14 Aug 2023
Counterfactual Explanation Policies in RL Shripad Deshmukh R Srivatsan Supriti Vijay Jayakumar Subramanian Chirag Agarwal OffRL 37 0 0 25 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 46 2 0 13 Jul 2023
Leveraging Contextual Counterfactuals Toward Belief Calibration Qiuyi Zhang Zhang Michael S. Lee Sherol Chen 29 1 0 13 Jul 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry Kacper Sokol E. Small Yueqing Xuan 40 5 0 05 Jun 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 58 159 0 02 Jun 2023
Plug-in Performative Optimization Licong Lin Tijana Zrnic 37 11 0 30 May 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 30 1 0 29 May 2023
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 31 2 0 28 Apr 2023
Generating robust counterfactual explanations Victor Guyomard Franccoise Fessant Thomas Guyet Tassadit Bouadi Alexandre Termier 46 10 0 24 Apr 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 56 10 0 13 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models Emilio Ferrara SILM 36 248 0 07 Apr 2023
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows Tri Dung Duong Qian Li Guandong Xu OOD 40 7 0 26 Mar 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 32 3 0 08 Mar 2023
Very fast, approximate counterfactual explanations for decision forests Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada 29 3 0 06 Mar 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse Zijie J. Wang J. W. Vaughan R. Caruana Duen Horng Chau HAI 36 21 0 27 Feb 2023
Trust Explanations to Do What They Say N Natarajan Reuben Binns Jun Zhao N. Shadbolt 25 2 0 14 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 44 3 0 07 Feb 2023
Sequential Strategic Screening Lee Cohen Saeed Sharifi-Malvajerd Kevin Stangl A. Vakilian Juba Ziani 28 4 0 31 Jan 2023
Finding Regions of Counterfactual Explanations via Robust Optimization Donato Maragno Jannis Kurtz Tabea E. Rober Rob Goedhart cS. .Ilker Birbil D. Hertog 52 22 0 26 Jan 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions Julia El Zini Mohamad Mansour M. Awad 33 1 0 19 Jan 2023
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models Arkadipta De Satya Swaroop Gudipudi Sourab Panchanan M. Desarkar FaML 18 0 0 30 Dec 2022
Counterfactual Explanations for Support Vector Machine Models S. Salazar Samuel Denton Ansaf Salleb-Aouissi AAML FAtt 20 2 0 14 Dec 2022
Actionable Recourse via GANs for Mobile Health Jennifer Chien Anna Guitart Ana Fernández del Río África Periánez Lauren Bellhouse 25 1 0 12 Nov 2022