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2011.11878
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Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
AAAI Conference on Artificial Intelligence (AAAI), 2020
24 November 2020
Hyemi Kim
Seungjae Shin
Joonho Jang
Kyungwoo Song
Weonyoung Joo
Wanmo Kang
Il-Chul Moon
BDL
CML
Re-assign community
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Papers citing
"Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder"
36 / 36 papers shown
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
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Xuan Zhao
Lena Krieger
Hanno Scharr
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OOD
342
1
0
16 Oct 2025
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
Chenrui Ma
Rongchang Zhao
Xi Xiao
Hongyang Xie
Tianyang Wang
500
8
0
11 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
CML
1.4K
6
0
28 Feb 2025
Policy Learning with a Natural Language Action Space: A Causal Approach
Bohan Zhang
Yixin Wang
Paramveer S. Dhillon
CML
268
0
0
24 Feb 2025
FairUDT: Fairness-aware Uplift Decision Trees
Knowledge-Based Systems (KBS), 2025
Anam Zahid
Abdur Rehman Ali
Shaina Raza
Rai Shahnawaz
F. Kamiran
Asim Karim
427
0
0
03 Feb 2025
Counterfactual Generative Modeling with Variational Causal Inference
International Conference on Learning Representations (ICLR), 2024
Yulun Wu
Louie McConnell
Claudia Iriondo
CML
BDL
656
11
0
16 Oct 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
Neural Information Processing Systems (NeurIPS), 2024
Zeyu Zhou
Tianci Liu
Ruqi Bai
Jing Gao
Murat Kocaoglu
David I. Inouye
463
10
0
03 Sep 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
545
4
0
03 Jun 2024
Causal Inference for Human-Language Model Collaboration
Bohan Zhang
Yixin Wang
Paramveer S. Dhillon
273
2
0
30 Mar 2024
Causality from Bottom to Top: A Survey
Abraham Itzhak Weinberg
Cristiano Premebida
Diego Resende Faria
CML
311
6
0
17 Mar 2024
Counterfactually Fair Representation
Zhiqun Zuo
Mohammad Mahdi Khalili
Xueru Zhang
FaML
331
13
0
09 Nov 2023
Consistent End-to-End Estimation for Counterfactual Fairness
Yuchen Ma
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
312
3
0
26 Oct 2023
Fast Model Debias with Machine Unlearning
Neural Information Processing Systems (NeurIPS), 2023
Ruizhe Chen
Jianfei Yang
Huimin Xiong
Jianhong Bai
Tianxiang Hu
Jinxiang Hao
Yang Feng
Qiufeng Wang
Jian Wu
Zuo-Qiang Liu
MU
436
101
0
19 Oct 2023
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Yujie Lin
Chen Zhao
Minglai Shao
Baoluo Meng
Xujiang Zhao
Haifeng Chen
279
9
0
22 Sep 2023
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems
Amir Samadi
A. Shirian
K. Koufos
Kurt Debattista
M. Dianati
AAML
FAtt
LRM
289
8
0
28 Jul 2023
Learning for Counterfactual Fairness from Observational Data
Knowledge Discovery and Data Mining (KDD), 2023
Jing Ma
Ruocheng Guo
Aidong Zhang
Jundong Li
FaML
185
18
0
17 Jul 2023
Towards Assumption-free Bias Mitigation
Chia-Yuan Chang
Yu-Neng Chuang
Kwei-Herng Lai
Xiaotian Han
Helen Zhou
Na Zou
229
4
0
09 Jul 2023
Contagion Effect Estimation Using Proximal Embeddings
CLEaR (CLEaR), 2023
Zahra Fatemi
Elena Zheleva
305
2
0
04 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Neural Information Processing Systems (NeurIPS), 2023
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
724
14
0
02 Jun 2023
Travel Demand Forecasting: A Fair AI Approach
Xiaojian Zhang
Qian Ke
Xilei Zhao
AI4TS
379
13
0
03 Mar 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Guodong Qi
Huimin Yu
CML
SSL
209
10
0
20 Feb 2023
A Survey of Deep Causal Models and Their Industrial Applications
Artificial Intelligence Review (Artif Intell Rev), 2022
Zongyu Li
Xiaoning Guo
Siwei Qiang
CML
AI4CE
795
17
0
19 Sep 2022
Fair mapping
Sébastien Gambs
Rosin Claude Ngueveu
296
0
0
01 Sep 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization
Yuqing Wang
Xiangxian Li
Zhuang Qi
Jingyu Li
Xuelong Li
Xiangxu Meng
Lei Meng
OOD
OODD
BDL
411
33
0
22 Aug 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
Ziqi Xu
Jixue Liu
Debo Cheng
Jiuyong Li
Lin Liu
Ke Wang
FaML
OOD
CML
413
17
0
19 Aug 2022
Counterfactual Fairness Is Basically Demographic Parity
AAAI Conference on Artificial Intelligence (AAAI), 2022
Lucas Rosenblatt
R. T. Witter
415
21
0
07 Aug 2022
Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data
Zheng Feng
M. Prosperi
Jiang Bian
CML
222
0
0
23 Jul 2022
Learning Fair Representation via Distributional Contrastive Disentanglement
Knowledge Discovery and Data Mining (KDD), 2022
Changdae Oh
Heeji Won
Junhyuk So
Taero Kim
Yewon Kim
Hosik Choi
Kyungwoo Song
FaML
CoGe
CML
DRL
261
54
0
17 Jun 2022
Diffeomorphic Counterfactuals with Generative Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ann-Kathrin Dombrowski
Jan E. Gerken
Klaus-Robert Muller
Pan Kessel
DiffM
BDL
373
26
0
10 Jun 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Neural Information Processing Systems (NeurIPS), 2022
Shachi Deshpande
Kaiwen Wang
Dhruv Sreenivas
Zheng Li
Volodymyr Kuleshov
CML
SyDa
464
14
0
18 Mar 2022
Latent Space Smoothing for Individually Fair Representations
European Conference on Computer Vision (ECCV), 2021
Momchil Peychev
Anian Ruoss
Mislav Balunović
Maximilian Baader
Martin Vechev
FaML
349
26
0
26 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDa
FaML
386
39
0
04 Nov 2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries
Pablo Sánchez-Martín
Miriam Rateike
Isabel Valera
CML
BDL
195
21
0
27 Oct 2021
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Adam Foster
Árpi Vezér
C. A. Glastonbury
Páidí Creed
Sam Abujudeh
Aaron Sim
FaML
307
7
0
15 Jun 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Mark T. Keane
Eoin M. Kenny
Eoin Delaney
Barry Smyth
CML
387
171
0
26 Feb 2021
Adversarial Learning for Counterfactual Fairness
Machine-mediated learning (ML), 2020
Vincent Grari
Sylvain Lamprier
Marcin Detyniecki
FaML
273
30
0
30 Aug 2020
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