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2106.05937
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Fair Normalizing Flows
International Conference on Learning Representations (ICLR), 2021
10 June 2021
Mislav Balunović
Anian Ruoss
Martin Vechev
AAML
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Papers citing
"Fair Normalizing Flows"
34 / 34 papers shown
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo
Austin Hoag
Xintong Wang
Philip S Thomas
Przemyslaw A. Grabowicz
FaML
277
0
0
23 Oct 2025
On Optimal Steering to Achieve Exact Fairness
Mohit Sharma
Amit Deshpande
Chiranjib Bhattacharyya
R. Shah
LLMSV
226
0
0
19 Sep 2025
Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
Yumeng Lin
Dong Li
Xintao Wu
Minglai Shao
Xujiang Zhao
Zhong Chen
Chen Zhao
CVBM
OOD
VLM
139
0
0
31 Aug 2025
SoK: Data Minimization in Machine Learning
Robin Staab
Nikola Jovanović
Kimberly Mai
Prakhar Ganesh
Martin Vechev
Ferdinando Fioretto
Matthew Jagielski
153
0
0
14 Aug 2025
Algorithmic Fairness: A Runtime Perspective
Runtime Verification (RV), 2025
Filip Cano
T. Henzinger
Konstantin Kueffner
FaML
285
0
0
28 Jul 2025
Towards Fair In-Context Learning with Tabular Foundation Models
Patrik Kenfack
Samira Ebrahimi Kahou
Ulrich Aïvodji
653
1
0
14 May 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
424
1
0
08 Mar 2025
Efficient Fairness-Performance Pareto Front Computation
Mark Kozdoba
Binyamin Perets
Shie Mannor
315
0
0
26 Sep 2024
AdapFair: Ensuring Adaptive Fairness for Machine Learning Operations
Yinghui Huang
Zihao Tang
Xiangyu Chang
FaML
256
0
0
23 Sep 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
Gina Wong
Joshua Gleason
Ramalingam Chellappa
Yoav Wald
Anqi Liu
OOD
393
1
0
25 Jul 2024
10 Years of Fair Representations: Challenges and Opportunities
Mattia Cerrato
Marius Köppel
Philipp Wolf
Stefan Kramer
FaML
207
6
0
04 Jul 2024
Back to the Drawing Board for Fair Representation Learning
Angeline Pouget
Nikola Jovanović
Mark Vero
Robin Staab
Martin Vechev
163
0
0
28 May 2024
Normalizing Flow-based Differentiable Particle Filters
Xiongjie Chen
Yunpeng Li
203
0
0
03 Mar 2024
Benchmarking the Fairness of Image Upsampling Methods
Conference on Fairness, Accountability and Transparency (FAccT), 2024
M. Laszkiewicz
Imant Daunhawer
Julia E. Vogt
Asja Fischer
Johannes Lederer
EGVM
304
4
0
24 Jan 2024
From Principle to Practice: Vertical Data Minimization for Machine Learning
Robin Staab
Nikola Jovanović
Mislav Balunović
Martin Vechev
271
9
0
17 Nov 2023
Learning Fair Representations with High-Confidence Guarantees
Yuhong Luo
Austin Hoag
Philip S Thomas
FaML
AI4TS
350
1
0
23 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
281
22
0
29 Sep 2023
Monitoring Algorithmic Fairness under Partial Observations
Runtime Verification (RV), 2023
T. Henzinger
Konstantin Kueffner
Kaushik Mallik
MLAU
212
6
0
01 Aug 2023
CuTS: Customizable Tabular Synthetic Data Generation
International Conference on Machine Learning (ICML), 2023
Mark Vero
Mislav Balunović
Martin Vechev
278
8
0
07 Jul 2023
A Fair Classifier Embracing Triplet Collapse
A. Martzloff
N. Posocco
Euranova
FaML
146
0
0
07 Jun 2023
Monitoring Algorithmic Fairness
International Conference on Computer Aided Verification (CAV), 2023
T. Henzinger
Mahyar Karimi
Konstantin Kueffner
Kaushik Mallik
FaML
229
12
0
25 May 2023
Efficient fair PCA for fair representation learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Matthäus Kleindessner
Michele Donini
Chris Russell
Muhammad Bilal Zafar
FaML
204
26
0
26 Feb 2023
Scalable Infomin Learning
Neural Information Processing Systems (NeurIPS), 2023
Yanzhi Chen
Wei-Der Sun
Yingzhen Li
Adrian Weller
249
9
0
21 Feb 2023
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting
European Conference on Artificial Intelligence (ECAI), 2023
Giandomenico Cornacchia
Vito Walter Anelli
Fedelucio Narducci
Azzurra Ragone
E. Sciascio
MLAU
FaML
139
2
0
16 Feb 2023
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning
Giandomenico Cornacchia
Vito Walter Anelli
Fedelucio Narducci
Azzurra Ragone
E. Sciascio
FaML
130
0
0
16 Feb 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
IEEE International Conference on Data Engineering (ICDE), 2023
He Zhang
Lizhen Qu
Shirui Pan
257
19
0
30 Jan 2023
FARE: Provably Fair Representation Learning with Practical Certificates
International Conference on Machine Learning (ICML), 2022
Nikola Jovanović
Mislav Balunović
Dimitar I. Dimitrov
Martin Vechev
376
20
0
13 Oct 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
ACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
360
235
0
14 Jul 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition
Neural Information Processing Systems (NeurIPS), 2022
Mintong Kang
Linyi Li
Maurice Weber
Yang Liu
Ce Zhang
Yue Liu
OOD
214
17
0
31 May 2022
FairNorm: Fair and Fast Graph Neural Network Training
Öykü Deniz Köse
Yanning Shen
AI4CE
144
5
0
20 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
269
14
0
10 May 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
258
24
0
26 Nov 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
Neural Information Processing Systems (NeurIPS), 2021
Brendan Leigh Ross
Jesse C. Cresswell
TPM
254
35
0
09 Jun 2021
Conditional Contrastive Learning for Improving Fairness in Self-Supervised Learning
Martin Q. Ma
Yifan Hao
Paul Pu Liang
Han Zhao
Kun Zhang
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
262
19
0
05 Jun 2021
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