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2002.04333
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Decisions, Counterfactual Explanations and Strategic Behavior
Neural Information Processing Systems (NeurIPS), 2020
11 February 2020
Stratis Tsirtsis
Manuel Gomez Rodriguez
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Papers citing
"Decisions, Counterfactual Explanations and Strategic Behavior"
40 / 40 papers shown
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Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
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276
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02 Jun 2025
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control
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Ulvi Movsum-zada
Patryk Marszalek
Maciej Ziȩba
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501
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29 May 2025
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality
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381
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08 May 2025
Can LLMs Explain Themselves Counterfactually?
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Asja Fischer
Muhammad Bilal Zafar
LRM
478
3
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25 Feb 2025
Flexible Counterfactual Explanations with Generative Models
Stig Hellemans
Andres Algaba
Sam Verboven
Vincent Ginis
348
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24 Feb 2025
S-CFE: Simple Counterfactual Explanations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Shpresim Sadiku
Moritz Wagner
Sai Ganesh Nagarajan
Sebastian Pokutta
629
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21 Oct 2024
Personalized Path Recourse for Reinforcement Learning Agents
Dat Hong
Tong Wang
375
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14 Dec 2023
T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems
Yiming Li
Daling Wang
Wenfang Wu
Shi Feng
Yifei Zhang
CML
299
1
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28 Sep 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Xudong Shen
H. Brown
Jiashu Tao
Martin Strobel
Yao Tong
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Harold Soh
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378
4
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22 Jun 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
Neural Information Processing Systems (NeurIPS), 2023
Stratis Tsirtsis
Manuel Gomez Rodriguez
CML
OffRL
433
14
0
06 Jun 2023
Achieving Diversity in Counterfactual Explanations: a Review and Discussion
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Thibault Laugel
Adulam Jeyasothy
Marie-Jeanne Lesot
Christophe Marsala
Marcin Detyniecki
CML
250
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10 May 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
International Conference on Human Factors in Computing Systems (CHI), 2023
Zijie J. Wang
J. W. Vaughan
R. Caruana
Duen Horng Chau
HAI
442
27
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27 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
355
28
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14 Feb 2023
Causal Strategic Classification: A Tale of Two Shifts
International Conference on Machine Learning (ICML), 2023
G. Horowitz
Nir Rosenfeld
OffRL
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401
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13 Feb 2023
Improvement-Focused Causal Recourse (ICR)
AAAI Conference on Artificial Intelligence (AAAI), 2022
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
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277
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27 Oct 2022
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes
Caglar Hizli
S. T. John
A. Juuti
Tuure Saarinen
Kirsi Pietiläinen
Pekka Marttinen
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505
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09 Sep 2022
Optimizing the Performative Risk under Weak Convexity Assumptions
Yulai Zhao
413
6
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02 Sep 2022
Anticipating Performativity by Predicting from Predictions
Neural Information Processing Systems (NeurIPS), 2022
Celestine Mendler-Dünner
Frances Ding
Yixin Wang
325
41
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15 Aug 2022
Personalized Algorithmic Recourse with Preference Elicitation
Giovanni De Toni
P. Viappiani
Stefano Teso
Bruno Lepri
Baptiste Caramiaux
600
13
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27 May 2022
Learning Losses for Strategic Classification
AAAI Conference on Artificial Intelligence (AAAI), 2022
Tosca Lechner
Ruth Urner
270
26
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25 Mar 2022
Margin-distancing for safe model explanation
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Tom Yan
Chicheng Zhang
141
3
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23 Feb 2022
Improving Screening Processes via Calibrated Subset Selection
International Conference on Machine Learning (ICML), 2022
Lequn Wang
Thorsten Joachims
Manuel Gomez Rodriguez
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310
21
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02 Feb 2022
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
Machine-mediated learning (ML), 2022
Giovanni De Toni
Bruno Lepri
Baptiste Caramiaux
CML
336
16
0
18 Jan 2022
Bayesian Persuasion for Algorithmic Recourse
Keegan Harris
Valerie Chen
Joon Sik Kim
Ameet Talwalkar
Hoda Heidari
Zhiwei Steven Wu
245
16
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12 Dec 2021
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services
International Conference on AI in Finance (ICAF), 2021
Eren Kurshan
Jiahao Chen
Victor Storchan
Hongda Shen
FaML
AIFin
274
16
0
02 Nov 2021
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
Social Science Research Network (SSRN), 2021
Jiahao Chen
Victor Storchan
Eren Kurshan
233
13
0
11 Aug 2021
Counterfactual Explanations in Sequential Decision Making Under Uncertainty
Stratis Tsirtsis
A. De
Manuel Gomez Rodriguez
462
54
0
06 Jul 2021
Counterfactual Explanations for Arbitrary Regression Models
Thomas Spooner
Danial Dervovic
Jason Long
Jon Shepard
Jiahao Chen
Daniele Magazzeni
293
30
0
29 Jun 2021
Alternative Microfoundations for Strategic Classification
Meena Jagadeesan
Celestine Mendler-Dünner
Moritz Hardt
308
55
0
24 Jun 2021
Counterfactual Explanations Can Be Manipulated
Neural Information Processing Systems (NeurIPS), 2021
Dylan Slack
Sophie Hilgard
Himabindu Lakkaraju
Sameer Singh
277
166
0
04 Jun 2021
Information Discrepancy in Strategic Learning
International Conference on Machine Learning (ICML), 2021
Yahav Bechavod
Chara Podimata
Zhiwei Steven Wu
Juba Ziani
634
57
0
01 Mar 2021
Outside the Echo Chamber: Optimizing the Performative Risk
International Conference on Machine Learning (ICML), 2021
John Miller
Juan C. Perdomo
Tijana Zrnic
425
126
0
17 Feb 2021
Directive Explanations for Actionable Explainability in Machine Learning Applications
Ronal Singh
Paul Dourish
Piers Howe
Tim Miller
L. Sonenberg
Eduardo Velloso
F. Vetere
228
44
0
03 Feb 2021
Performative Prediction in a Stateful World
Gavin Brown
Shlomi Hod
Iden Kalemaj
506
104
0
08 Nov 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
ACM Computing Surveys (ACM CSUR), 2020
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
790
281
0
20 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Jessie Finocchiaro
R. Maio
F. Monachou
Gourab K. Patro
Manish Raghavan
Ana-Andreea Stoica
Stratis Tsirtsis
FaML
439
69
0
12 Oct 2020
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
Yahav Bechavod
Katrina Ligett
Zhiwei Steven Wu
Juba Ziani
465
33
0
17 Feb 2020
Optimal Decision Making Under Strategic Behavior
Management Sciences (MS), 2019
Stratis Tsirtsis
Behzad Tabibian
M. Khajehnejad
Adish Singla
Bernhard Schölkopf
Manuel Gomez Rodriguez
610
35
0
22 May 2019
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