Fair Conformal Prediction

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9 papers3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Tilted Mondrian: Triage and Mitigation of Fine-grained Disparities in Conformal Prediction
Oct 17, 2026Ziang Gao, Pengqi Liu, Archer Yi Yang +3Fair Conformal Prediction Group-Conditional Conformal Prediction
McGill University, Montreal, Canada · TD Insurance, Montreal, Canada · Layer 6 AI, Toronto, Canada
Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability
Oct 8, 2026Meihui Zhong, Wenxin Tai, Ting Zhong +1Fair Conformal Prediction Conformal Prediction
University of Electronic Science and Technology of China · Kashi Institute of Electronics and Information Industry · Intelligent Digital Media Technology, Key Laboratory of Sichuan Province
Rolling Conformal Prediction in Sequential Model Training
Sep 22, 2026Chen Cheng, Ruiting Liang, Rina Foygel BarberFair Conformal Prediction Conformal Prediction
Department of Statistics, University of Illinois Urbana-Champaign · Department of Statistics, Harvard University · Department of Statistics, University of Chicago
Conformal Uncertainty Quantification Guarantees for Neural Operators
Aug 28, 2026Tom Stent, Nicolas BoulléFair Conformal Prediction Uncertainty Quantification
Department of Mathematics Imperial College London London, SW7 2AZ, UK
From Prediction Uncertainty to Conformalized Distance Fields for Safe Motion Planning
Jul 1, 2026Jaeuk Shin, Yoonseok Ra, Insoon YangConstrained Motion Planning Fair Conformal Prediction
Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul 08826, South Korea
Foresight: Failure Detection for Long-Horizon Robotic Manipulation with Action-Conditioned World Model Latents
Jun 22, 2026Haoran Zhang, Yifu Lu, Boyang Wang +5Fair Conformal Prediction Long-Horizon Robotic Manipulation
University of Michigan · Princeton University · University of Virginia
On the Burden of Achieving Fairness in Conformal Prediction
May 14, 2026Ziang Gao, Pengqi Liu, Archer Yi Yang +3Fair Conformal Prediction Conformal Prediction
McGill University Montreal, Canada · TD Insurance Montreal, Canada · Layer 6 AI Toronto, Canada
Fair Conformal Classification via Learning Representation-Based Groups
May 12, 2026Senrong Xu, Yanke Zhou, Yuhao Tan +5Fair Conformal Prediction Group-Conditional Conformal Prediction
State Key Lab of Novel Software Technology, Nanjing University, China · ETH Zürich · Birkbeck, University of London
Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification
Feb 23, 2026Arjun Chatterjee, Sayeed Sajjad Razin, John Wu +3Fair Conformal Prediction Conformal Prediction
University of Illinois Urbana-Champaign, Urbana, IL 61801, USA · PyHealth · Bangladesh University of Engineering and Technology

Oct 17, 2026J/K move · Enter open · S save

Tilted Mondrian: Triage and Mitigation of Fine-grained Disparities in Conformal Prediction

Ziang Gao, Pengqi Liu, Archer Yi Yang, Mouloud Belbahri+2

McGill University, Montreal, Canada · TD Insurance, Montreal, Canada · Layer 6 AI, Toronto, Canada

Fair Conformal Prediction Group-Conditional Conformal Prediction

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Fairness in conformal prediction is often pursued through Mondrian calibration, which provides finite-sample coverage guarantees separately across groups. These guarantees, however, are coarse: substantial disparities can remain within finer strata. This coarse-to-fine fairness issue raises two questions: how severe can such disparities be, and how can they be mitigated? Aggregate disparities can depend on how groups are distributed across strata. For severity assessment, we introduce propensity standardization to examine the effect of population composition, and show how group composition can induce disagreement between aggregate and finer-stratum comparisons. For mitigation, we develop Tilted Mondrian to improve fairness compared to group-Mondrian at a finer level without additional model training. Tilted Mondrian retains groupwise coverage guarantees and mitigates coverage and prediction set size disparities within finer strata. Finally, we derive a method-agnostic bound that quantifies how much reduction in finer-stratum coverage disparity can be achieved.