Distributional Counterfactual Explanations With Optimal Transport

23 January 2024

Papers citing "Distributional Counterfactual Explanations With Optimal Transport"

20 / 20 papers shown

Title
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations Dan Ley Saumitra Mishra Daniele Magazzeni LRM 58 16 0 26 May 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals Greta Warren Markt. Keane Christophe Guéret Eoin Delaney 43 13 0 16 Mar 2023
Towards Explaining Distribution Shifts Sean Kulinski David I. Inouye OffRL FAtt 59 26 0 19 Oct 2022
Statistical inference with regularized optimal transport Ziv Goldfeld Kengo Kato Gabriel Rioux Ritwik Sadhu OT 49 35 0 09 May 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs E. del Barrio Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 39 34 0 19 Apr 2022
NICE: An Algorithm for Nearest Instance Counterfactual Explanations Dieter Brughmans Pieter Leyman David Martens 52 64 0 15 Apr 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 66 224 0 25 Feb 2021
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance Minhui Huang Shiqian Ma Lifeng Lai 38 42 0 09 Dec 2020
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 53 169 0 20 Oct 2020
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models Furui Cheng Yao Ming Huamin Qu CML HAI 20 101 0 19 Aug 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 31 84 0 12 Mar 2020
Explaining Groups of Points in Low-Dimensional Representations Gregory Plumb Jonathan Terhorst S. Sankararaman Ameet Talwalkar 52 30 0 03 Mar 2020
Learning Model-Agnostic Counterfactual Explanations for Tabular Data Martin Pawelczyk Johannes Haug Klaus Broelemann Gjergji Kasneci OOD CML 58 203 0 21 Oct 2019
Minimax Confidence Intervals for the Sliced Wasserstein Distance Tudor Manole Sivaraman Balakrishnan Larry A. Wasserman 90 36 0 17 Sep 2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera 76 320 0 27 May 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations R. Mothilal Amit Sharma Chenhao Tan CML 100 1,005 0 19 May 2019
Actionable Recourse in Linear Classification Berk Ustun Alexander Spangher Yang Liu FaML 84 545 0 18 Sep 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 73 2,332 0 01 Nov 2017
Central Limit Theorem for empirical transportation cost in general dimension E. del Barrio Jean-Michel Loubes OT 35 107 0 03 May 2017
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 133 4,210 0 04 Jun 2013