Algorithmic recourse under imperfect causal knowledge: a probabilistic approach

11 June 2020

Papers citing "Algorithmic recourse under imperfect causal knowledge: a probabilistic approach"

36 / 36 papers shown

Title
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 45 0 0 05 May 2025
Understanding Fixed Predictions via Confined Regions Connor Lawless Tsui-Wei Weng Berk Ustun Madeleine Udell 64 0 0 22 Feb 2025
Graph Counterfactual Explainable AI via Latent Space Traversal Andreas Abildtrup Hansen Paraskevas Pegios Anna Calissano Aasa Feragen OOD BDL AAML 90 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 73 1 0 29 Oct 2024
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 57 1 0 18 Oct 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 80 3 0 10 Jun 2024
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 82 85 0 13 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 31 172 0 08 Oct 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 29 340 0 14 Feb 2020
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers Divyat Mahajan Chenhao Tan Amit Sharma OOD CML 73 206 0 06 Dec 2019
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks Julius von Kügelgen Paul Kishan Rubenstein Bernhard Schölkopf Adrian Weller CML 26 20 0 09 Oct 2019
FACE: Feasible and Actionable Counterfactual Explanations Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodríguez T. D. Bie Peter A. Flach 52 368 0 20 Sep 2019
Equalizing Recourse across Groups Vivek Gupta Pegah Nokhiz Chitradeep Dutta Roy Suresh Venkatasubramanian FaML 14 70 0 07 Sep 2019
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems Shalmali Joshi Oluwasanmi Koyejo Warut D. Vijitbenjaronk Been Kim Joydeep Ghosh FaML 32 186 0 22 Jul 2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera 46 320 0 27 May 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations R. Mothilal Amit Sharma Chenhao Tan CML 91 1,005 0 19 May 2019
Actionable Recourse in Linear Classification Berk Ustun Alexander Spangher Yang Liu FaML 77 545 0 18 Sep 2018
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 52 286 0 17 May 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 56 334 0 22 Feb 2018
Conditional Density Estimation with Bayesian Normalising Flows Brian L. Trippe Richard Turner BDL 17 83 0 14 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 29 2,332 0 01 Nov 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 73 579 0 08 Jun 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 85 738 0 24 May 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Ahmed Alaa M. Schaar CML 51 300 0 10 Apr 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 169 1,566 0 20 Mar 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 168 149,474 0 22 Dec 2014
Gaussian Process Structural Equation Models with Latent Variables Ricardo M. A. Silva R. Gramacy CML 70 11 0 09 Aug 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 287 16,972 0 20 Dec 2013
Counterfactual Probabilities: Computational Methods, Bounds and Applications Alexander Balke Judea Pearl 30 252 0 27 Feb 2013
Probabilities of Causation: Bounds and Identification Jin Tian Judea Pearl 54 213 0 16 Jan 2013
Gaussian Process Networks N. Friedman I. Nachman GP BDL 101 85 0 16 Jan 2013
Causal Discovery from Changes Jin Tian Judea Pearl CML 65 165 0 10 Jan 2013
Identification of Conditional Interventional Distributions I. Shpitser Judea Pearl 95 223 0 27 Jun 2012
Identifiability of Gaussian structural equation models with equal error variances J. Peters Peter Buhlmann CML 133 336 0 11 May 2012
On the Identifiability of the Post-Nonlinear Causal Model Kun Zhang Aapo Hyvarinen CML 107 558 0 09 May 2012
Causal inference using the algorithmic Markov condition Dominik Janzing Bernhard Schölkopf CML 57 305 0 23 Apr 2008