Counterfactual Explanations for Arbitrary Regression Models

29 June 2021

Papers citing "Counterfactual Explanations for Arbitrary Regression Models"

30 / 30 papers shown

Title
$The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS$ The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS John Fearnley P. Goldberg Alexandros Hollender Rahul Savani 10 67 0 03 Nov 2020
On Counterfactual Explanations under Predictive Multiplicity Martin Pawelczyk Klaus Broelemann Gjergji Kasneci 90 85 0 23 Jun 2020
Multi-Objective Counterfactual Explanations Susanne Dandl Christoph Molnar Martin Binder B. Bischl 45 252 0 23 Apr 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 29 340 0 14 Feb 2020
Convex Density Constraints for Computing Plausible Counterfactual Explanations André Artelt Barbara Hammer 23 47 0 12 Feb 2020
Decisions, Counterfactual Explanations and Strategic Behavior Stratis Tsirtsis Manuel Gomez Rodriguez 92 60 0 11 Feb 2020
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers Divyat Mahajan Chenhao Tan Amit Sharma OOD CML 82 206 0 06 Dec 2019
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles Ana Lucic Harrie Oosterhuis H. Haned Maarten de Rijke LRM 18 62 0 27 Nov 2019
On the computation of counterfactual explanations -- A survey André Artelt Barbara Hammer LRM 34 50 0 15 Nov 2019
Learning Model-Agnostic Counterfactual Explanations for Tabular Data Martin Pawelczyk Johannes Haug Klaus Broelemann Gjergji Kasneci OOD CML 53 203 0 21 Oct 2019
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables Yichi Zhang D. Apley Wei Chen AI4CE 15 214 0 03 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
Interpretable Counterfactual Explanations Guided by Prototypes A. V. Looveren Janis Klaise FAtt 38 380 0 03 Jul 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 39 51 0 02 Jul 2019
Bayesian Optimisation over Multiple Continuous and Categorical Inputs Binxin Ru A. Alvi Vu Nguyen Michael A. Osborne Stephen J. Roberts 63 96 0 20 Jun 2019
Bayesian Optimization of Composite Functions Raul Astudillo P. Frazier LLMAG 27 77 0 04 Jun 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations R. Mothilal Amit Sharma Chenhao Tan CML 96 1,005 0 19 May 2019
Actionable Recourse in Linear Classification Berk Ustun Alexander Spangher Yang Liu FaML 81 545 0 18 Sep 2018
Fair lending needs explainable models for responsible recommendation Jiahao Chen FaML SILM 24 27 0 12 Sep 2018
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 57 286 0 17 May 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 77 480 0 21 Dec 2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 36 2,332 0 01 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 202 4,229 0 22 Jun 2017
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking Gabriele Tolomei Fabrizio Silvestri Andrew Haines M. Lalmas 28 207 0 20 Jun 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 180 5,323 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 69 2,518 0 02 Nov 2016
Counterfactual Reasoning and Learning Systems Léon Bottou J. Peters J. Q. Candela Denis Xavier Charles D. M. Chickering Elon Portugaly Dipankar Ray Patrice Y. Simard Edward Snelson CML OffRL 106 781 0 11 Sep 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 229 7,883 0 13 Jun 2012
Convergence rates of efficient global optimization algorithms Adam D. Bull 73 641 0 18 Jan 2011
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 106 1,616 0 21 Dec 2009