Set Prediction

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3 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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Latest papers 19

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Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
Oct 6, 2026Kevin Zhang, Stephen BatesSet Prediction Conformal Prediction
EECS, MIT, Cambridge MA, USA.
HEIR: Learning Human-Entity Interactions with Functional Roles
Sep 28, 2026Di Wen, Wenhao Guo, Yuedong Tan +15Set Prediction Human-Object Interaction
Karlsruhe Institute of Technology (KIT) · Institute for Computer Science, Artificial Intelligence and Technology (INSAIT) · Hunan University +2
Sharp training-conditional coverage for conformal prediction under covariate shift
Sep 27, 2026Mehrdad PournaderiWeighted Conformal Prediction Set Prediction
Mofid Securities
How Much Imprecision is Enough Imprecision in my Classifier? A Practical Elicitation Procedure
Sep 27, 2026Victor F. Lopes de Souza, Sébastien Destercke, Abdelhak ImoussatenSet Prediction Classification
EuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Al`es, Montpellier, France · LIRMM, Universit´e de Montpellier, CNRS, Montpellier, France · SyCoIA, IMT Mines Al`es, Al`es, France +1
Matrix Zonotopic Attention: A Context-Adaptive Value Projection for Set Transformers
Aug 5, 2026Zhen Zhang, Amr AlanwarSet Prediction Transformer Attention
School of Computation, Information and Technology Technical University of Munich, Germany
Simultaneous Coverage and Efficiency Guarantee in Online Conformal Prediction
Jul 29, 2026Rahul VazeSet Prediction Conformal Prediction
Tata Institute of Fundamental Research, Mumbai
Manifold Constrained Conformal Prediction for Spatial Events
Jul 10, 2026Collin Nill, Trevor Harris, Jason AdamsSet Prediction Probabilistic Forecasting
Department of Statistics University of Connecticut Storrs, CT 06269 · Sandia National Laboratories Albuquerque, NM 87123
Prediction Sets for Counterfactual Decisions: Coverage, Optimality, and Conformal Prediction
Jul 2, 2026Yurui Zheng, Ying JinSet Prediction Conformal Prediction
School of Mathematical Sciences, Peking University · Department of Statistics and Data Science, University of Pennsylvania
Conformal Prediction with Macro-Coverage Guarantees
Jun 26, 2026Aabesh Bhattacharyya, Tiffany Ding, Rina Foygel BarberSet Prediction Conformal Prediction
Department of Statistics, University of Chicago · Department of Statistics, UC Berkeley
S23DR 2026: End-to-End 3D Wireframe Prediction via DETR-Style Set Prediction with Contrastive Denoising
Jun 12, 2026Nitiz Khanal3D Reconstruction Point Cloud Learning
Pulchowk Campus, Lalitpur, Nepal
S23DR 2026 Winning Solution
Jun 4, 2026Jan Skvrna, Miroslav Purkrabek, Lukas Neumann3D Reconstruction Set Prediction
Visual Recognition Group, Czech Technical University in Prague
InstructSAM: Segment Any Instance with Any Instructions
May 25, 2026Yuqian Yuan, Wentong Li, Zhaocheng Li +6Image Segmentation Text-Guided Image Segmentation
Zhejiang University · Nanjing University of Aeronautics and Astronautics
MiRD: Reliable Set-Valued Prediction for Open-Ended Question Answering via Miscoverage Risk Decomposition
May 25, 2026Anqi Hu, Zhiyuan Wang, Zijun Jia +1LLM Hallucination Mitigation Set Prediction
University of Electronic Science and Technology of China · Beihang University
AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding
May 21, 2026Haocheng Li, Juepeng Zheng, Zenghao Yang +5Agricultural Image Analysis Set Prediction
China Agricultural University · Sun Yat-sen University · National Supercomputing Center in Shenzhen +3
AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI
May 20, 2026Amirhossein Mohammadi, Hina TabassumHuman Activity Recognition Set Prediction
Department of Electrical Engineering and Computer Science York University, Toronto, ON, Canada
DANCE: Detect and Classify Events in EEG
May 11, 2026Jarod Lévy, Hubert Banville, Jérémy Rapin +3Electroencephalography Brain-Computer Interfaces
1Meta AI · 2Inria, Université Paris-Saclay, Palaiseau, France
Set Prediction for Next-Day Active Fire Forecasting
May 11, 2026Yuchen Bai, Georgios Athanasiou, Xin Yu +4Wildfire Forecasting Set Prediction
Max Planck Institute for Biogeochemistry, Jena, Germany · Orion Lab, National Technical University of Athens · University of Utah, Salt Lake City, USA +4
XDecomposer: Learning Prior-Free Set Decomposition for Multiphase X-ray Diffraction
May 7, 2026Hanyu Gao, Bin Cao, Yunyue Su +2Set Prediction Materials Science
New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA) · School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences · Guangzhou Municipal Key Laboratory of Materials Informatics, The Hong Kong University of Science and Technology (Guangzhou) +1
Benchmarking non-conformity score functions in conformal prediction
Date pendingSol Erika BomanSet Prediction Conformal Prediction
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet · Department of Molecular Medicine and Surgery, Karolinska Institutet

Oct 6, 2026, cs.LGJ/K move · Enter open · S save

Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective

Kevin Zhang, Stephen Bates

EECS, MIT, Cambridge MA, USA.

Set Prediction Conformal Prediction Mutual Information

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Conformal prediction is a popular tool for uncertainty quantification that outputs prediction sets with finite-sample coverage guarantees. While prediction set size is commonly used as a heuristic measure of uncertainty, the information-theoretic basis for this interpretation remains poorly understood. In this work, we provide such a foundation using a decision-theoretic generalization of entropy tailored to set-valued prediction. In particular, we introduce a family of generalized information measures based on the size and coverage of conformal prediction sets. Notably, Shannon mutual information admits an exact integral representation in terms of these measures. We then show that, in standard classification settings, the reduction in conformal set size from additional information (i) is sandwiched between calibration-dependent members of this family and (ii) obeys a data processing inequality, both up to finite-sample calibration and model error terms. Together, our results formally relate conformal prediction to classical information-theoretic quantities and justify using set-size reduction as an information gain metric. Empirically, we validate our theory across 11 classification settings and show that set-size reduction and Shannon mutual information can rank features differently in a greedy feature selection experiment.

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