Algorithmic Recourse in the Wild: Understanding the Impact of Data and
Model Shifts

Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

22 December 2020

Himabindu Lakkaraju

Papers citing "Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts"

14 / 14 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
Understanding Fixed Predictions via Confined Regions Connor Lawless Tsui-Wei Weng Berk Ustun Madeleine Udell 48 0 0 22 Feb 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 69 2 0 28 Jan 2025
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 45 1 0 18 Oct 2024
Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping Juan Sebastián Canas Francisco Gomez Omar Costilla-Reyes 21 1 0 06 Jun 2023
Generating robust counterfactual explanations Victor Guyomard Franccoise Fessant Thomas Guyet Tassadit Bouadi Alexandre Termier 48 10 0 24 Apr 2023
Finding Regions of Counterfactual Explanations via Robust Optimization Donato Maragno Jannis Kurtz Tabea E. Rober Rob Goedhart cS. .Ilker Birbil D. Hertog 54 22 0 26 Jan 2023
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 39 15 0 27 Oct 2022
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse Martin Pawelczyk Teresa Datta Johannes van-den-Heuvel Gjergji Kasneci Himabindu Lakkaraju 24 38 0 13 Mar 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 26 36 0 22 Jan 2022
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 46 63 0 21 Dec 2021
GeCo: Quality Counterfactual Explanations in Real Time Maximilian Schleich Zixuan Geng Yihong Zhang D. Suciu 48 61 0 05 Jan 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 26 164 0 20 Oct 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,698 0 28 Feb 2017