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Towards Robust and Reliable Algorithmic Recourse
Neural Information Processing Systems (NeurIPS), 2021
26 February 2021
Sohini Upadhyay
Shalmali Joshi
Himabindu Lakkaraju
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Papers citing
"Towards Robust and Reliable Algorithmic Recourse"
50 / 82 papers shown
Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders
Junqi Jiang
Francesco Leofante
Antonio Rago
Francesca Toni
CML
240
0
0
06 Oct 2025
Reinforcement Learning for Durable Algorithmic Recourse
Marina Ceccon
Alessandro Fabris
Goran Radanović
Asia J. Biega
Gian Antonio Susto
183
3
0
26 Sep 2025
Optimal Robust Recourse with
L
p
L^p
L
p
-Bounded Model Change
Phone Kyaw
Kshitij Kayastha
Shahin Jabbari
252
0
0
25 Sep 2025
Performative Validity of Recourse Explanations
Gunnar Konig
Hidde Fokkema
Timo Freiesleben
Celestine Mendler-Dünner
Ulrike on Luxburg
232
4
0
18 Jun 2025
From Search To Sampling: Generative Models For Robust Algorithmic Recourse
International Conference on Learning Representations (ICLR), 2025
Prateek Garg
Lokesh Nagalapatti
Sunita Sarawagi
480
4
0
12 May 2025
Axiomatic Explainer Globalness via Optimal Transport
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Davin Hill
Josh Bone
A. Masoomi
Max Torop
Jennifer Dy
558
2
0
13 Mar 2025
Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users
Bo-Yi Liu
Zhi-Xuan Liu
Kuan Lun Chen
Zhi-Xuan Liu
Jie Gao
Hao-Tsung Yang
433
1
0
12 Mar 2025
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
Adaptive Agents and Multi-Agent Systems (AAMAS), 2025
Erfaun Noorani
Pasan Dissanayake
Faisal Hamman
Sanghamitra Dutta
304
3
0
11 Mar 2025
Understanding Fixed Predictions via Confined Regions
Connor Lawless
Tsui-Wei Weng
Berk Ustun
Madeleine Udell
369
1
0
22 Feb 2025
RobustX: Robust Counterfactual Explanations Made Easy
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Junqi Jiang
Luca Marzari
Aaryan Purohit
Francesco Leofante
CML
314
8
0
20 Feb 2025
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization
Keita Kinjo
411
3
0
10 Jan 2025
Private Counterfactual Retrieval With Immutable Features
S. Meel
Pasan Dissanayake
M. Nomeir
Sanghamitra Dutta
S. Ulukus
OffRL
204
0
0
15 Nov 2024
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
International Conference on Learning Representations (ICLR), 2024
Seung Hyun Cheon
Anneke Wernerfelt
Sorelle A. Friedler
Berk Ustun
FaML
FAtt
684
8
0
29 Oct 2024
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Junyu Cao
Ruijiang Gao
Esmaeil Keyvanshokooh
634
4
0
18 Oct 2024
Private Counterfactual Retrieval
M. Nomeir
Pasan Dissanayake
S. Meel
Sanghamitra Dutta
S. Ulukus
264
1
0
17 Oct 2024
Time Can Invalidate Algorithmic Recourse
Conference on Fairness, Accountability and Transparency (FAccT), 2024
Giovanni De Toni
Stefano Teso
Bruno Lepri
Baptiste Caramiaux
515
5
0
10 Oct 2024
Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse
Machine-mediated learning (ML), 2024
Yueqing Xuan
Kacper Sokol
Mark Sanderson
J. Chan
365
2
0
03 Oct 2024
Learning-Augmented Robust Algorithmic Recourse
Kshitij Kayastha
Vasilis Gkatzelis
Shahin Jabbari
394
1
0
02 Oct 2024
Generally-Occurring Model Change for Robust Counterfactual Explanations
Ao Xu
Tieru Wu
AAML
230
3
0
16 Jul 2024
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations
Luca Marzari
Francesco Leofante
Ferdinando Cicalese
Alessandro Farinelli
OOD
228
8
0
10 Jul 2024
Watermarking Counterfactual Explanations
Hangzhi Guo
Amulya Yadav
AAML
252
0
0
29 May 2024
Interval Abstractions for Robust Counterfactual Explanations
Junqi Jiang
Francesco Leofante
Antonio Rago
Francesca Toni
278
8
0
21 Apr 2024
Recourse for reclamation: Chatting with generative language models
Jennifer Chien
Kevin R. McKee
Jackie Kay
William S. Isaac
236
0
0
21 Mar 2024
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts
Varun Babbar
Zhicheng Guo
Cynthia Rudin
427
6
0
08 Mar 2024
Verified Training for Counterfactual Explanation Robustness under Data Shift
Anna P. Meyer
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
AAML
OOD
304
3
0
06 Mar 2024
How to Train your Antivirus: RL-based Hardening through the Problem-Space
Jacopo Cortellazzi
Ilias Tsingenopoulos
B. Bosanský
Simone Aonzo
Davy Preuveneers
Wouter Joosen
Fabio Pierazzi
Lorenzo Cavallaro
272
7
0
29 Feb 2024
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
Duy Nguyen
Bao Nguyen
Viet Anh Nguyen
292
0
0
23 Feb 2024
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies
Jasmina Gajcin
Ivana Dusparic
CML
OffRL
232
2
0
09 Feb 2024
Robust Counterfactual Explanations in Machine Learning: A Survey
Junqi Jiang
Francesco Leofante
Antonio Rago
Francesca Toni
OffRL
CML
279
34
0
02 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
363
5
0
29 Jan 2024
Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report)
Junqi Jiang
Antonio Rago
Francesco Leofante
Francesca Toni
388
16
0
22 Dec 2023
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
Patrick Altmeyer
Mojtaba Farmanbar
A. V. Deursen
Cynthia C. S. Liem
212
7
0
17 Dec 2023
Personalized Path Recourse for Reinforcement Learning Agents
Dat Hong
Tong Wang
384
0
0
14 Dec 2023
Promoting Counterfactual Robustness through Diversity
Francesco Leofante
Nico Potyka
259
18
0
11 Dec 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations
Asiful Arefeen
Hassan Ghasemzadeh
257
6
0
02 Oct 2023
On the Trade-offs between Adversarial Robustness and Actionable Explanations
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Satyapriya Krishna
Chirag Agarwal
Himabindu Lakkaraju
AAML
331
1
0
28 Sep 2023
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation
Asian Conference on Machine Learning (ACML), 2023
Junqi Jiang
Jianglin Lan
Francesco Leofante
Antonio Rago
Francesca Toni
OOD
435
20
0
22 Sep 2023
Estimation of Counterfactual Interventions under Uncertainties
Asian Conference on Machine Learning (ACML), 2023
Juliane Weilbach
S. Gerwinn
M. Kandemir
Martin Fraenzle
236
0
0
15 Sep 2023
Setting the Right Expectations: Algorithmic Recourse Over Time
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Joao Fonseca
Andrew Bell
Carlo Abrate
Francesco Bonchi
Julia Stoyanovich
326
19
0
13 Sep 2023
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations
International Conference on Information and Knowledge Management (CIKM), 2023
Yongjie Wang
Hangwei Qian
Yongjie Liu
Wei Guo
Chunyan Miao
289
7
0
09 Sep 2023
Prediction without Preclusion: Recourse Verification with Reachable Sets
International Conference on Learning Representations (ICLR), 2023
Avni Kothari
B. Kulynych
Tsui-Wei Weng
Berk Ustun
FaML
305
7
0
24 Aug 2023
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
AAAI Conference on Artificial Intelligence (AAAI), 2023
Haochen Wu
Sanjay Kariyappa
Sunandita Patra
Sriram Gopalakrishnan
453
1
0
23 Aug 2023
Endogenous Macrodynamics in Algorithmic Recourse
Patrick Altmeyer
Giovan Angela
Aleksander Buszydlik
Karol Dobiczek
A. V. Deursen
Cynthia C. S. Liem
246
9
0
16 Aug 2023
Explaining Black-Box Models through Counterfactuals
JuliaCon Proceedings (JuliaCon), 2023
Patrick Altmeyer
A. V. Deursen
Cynthia C. S. Liem
CML
LRM
255
4
0
14 Aug 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Emanuele Albini
Sanjay Kariyappa
Saumitra Mishra
Danial Dervovic
Daniele Magazzeni
FAtt
313
5
0
13 Jul 2023
Robust Ranking Explanations
Chao Chen
Chenghua Guo
Guixiang Ma
Ming Zeng
Xi Zhang
Sihong Xie
FAtt
AAML
473
0
0
08 Jul 2023
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Anna P. Meyer
Dan Ley
Suraj Srinivas
Himabindu Lakkaraju
FAtt
237
7
0
11 Jun 2023
Consistent Explanations in the Face of Model Indeterminacy via Ensembling
Dan Ley
Leonard Tang
Matthew Nazari
Hongjin Lin
Suraj Srinivas
Himabindu Lakkaraju
270
2
0
09 Jun 2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations
International Conference on Machine Learning (ICML), 2023
Dan Ley
Saumitra Mishra
Daniele Magazzeni
LRM
405
30
0
26 May 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
International Conference on Machine Learning (ICML), 2023
Faisal Hamman
Erfaun Noorani
Saumitra Mishra
Daniele Magazzeni
Sanghamitra Dutta
OOD
AAML
375
54
0
19 May 2023
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