Set-Valued Prediction

Latest papers

14 papers6 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

CoCoNet: Convex Conformal Network for Multi-Dimensional Uncertainty Regions
Oct 16, 2026Alireza Moradi, Thomas Bruys, Pascal Van Hentenryck +1Conformal Prediction Set-Valued Prediction
H. Milton Stewart School of Industrial and Systems Engineering (ISyE), Georgia Institute of Technology · NSF AI Institute for Advances in Optimization (AI4OPT), Georgia Institute of Technology · School of Electrical and Computer Engineering (ECE), Georgia Institute of Technology
Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
Oct 6, 2026Kevin Zhang, Stephen BatesSet Prediction Conformal Prediction
EECS, MIT, Cambridge MA, USA.
Compact set-valued deep ensembling in multi-class classification
Oct 4, 2026Kim-Dung Tran, Dang-Man Nguyen, Vu-Linh Nguyen +3Deep Ensembles Multiclass Classification
UMR CNRS 7253, Heudiasyc, Universit´e de Technologie de Compi`egne, Compi`egne, France. · School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Japan.
Multi-Attractor GNNs: Set-Valued Expressivity Beyond Unique Equilibria
Sep 28, 2026Jialin LiuGNN Expressivity Combinatorial Optimization
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
Destination Support Restoration for Finite-Set Multimodal Trajectory Prediction
Sep 22, 2026Fengrui Liu, Jiajun Peng, Duo Peng +1Pedestrian Trajectory Prediction Multimodal Trajectory Prediction
School of Computer Science and Technology, East China Normal University, Shanghai, China · School of Data Science, University of Science and Technology of China, Hefei, China · School of Computer Science and Technology, Tongji University, Shanghai, China +1
Isotonic Conformal Prediction
Jul 18, 2026Daniel Bensimon, Sean Xiang Yu, Eric D. Kolaczyk +1Conformal Prediction Uncertainty Calibration
Department of Mathematics and Statistics, McGill University; Mila · Eli Lilly and Company
Multi-Agent Routing as Set-Valued Prediction: A WildChat Benchmark and Cost-Aware Evaluation
Jun 27, 2026Ananto Nayan Bala, Faisal Muhammad ShahMulti-Label Classification AI Agent Benchmarks
Ahsanullah University of Science and Technology Dhaka, Bangladesh
A Framework for Measuring Appropriate Reliance on Set-Valued AI Advice
Jun 4, 2026Ranjan Mishra, Jakob SchoefferSet-Valued Prediction Human-AI Decision Making
University of Groningen, The Netherlands
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
Bifurcation Models: Learning Set-Valued Solution Maps with Weight-Tied Dynamics
May 8, 2026Caleb Jore, Jialin LiuDynamical Systems Set-Valued Prediction
Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
Mar 24, 2026Ye Li, Anqi Hu, Yuanchang Ye +3Set-Valued Prediction LLM Uncertainty Estimation
University of Electronic Science and Technology of China, Chengdu, Sichuan, China · Zhejiang University of Finance and Economics, Hangzhou, Zhejiang, China · Southeast University, Nanjing, Jiangsu, China
RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
Feb 20, 2026Sai Hao, Hao Zeng, Hongxin Wei +1Set-Valued Prediction LLM Routing
Southern University of Science and Technology, China · The Chinese University of Hong Kong, Shenzhen, China · Shenzhen Loop Area Institute, China
Beyond Uncertainty Sets: Leveraging Optimal Transport to Extend Conformal Predictive Distributions to Multivariate Settings
Nov 19, 2025Eugene NdiayeUncertainty Quantification Conformal Prediction
Apple

Oct 16, 2026J/K move · Enter open · S save

CoCoNet: Convex Conformal Network for Multi-Dimensional Uncertainty Regions

Alireza Moradi, Thomas Bruys, Pascal Van Hentenryck, Reza Zandehshahvar

H. Milton Stewart School of Industrial and Systems Engineering (ISyE), Georgia Institute of Technology · NSF AI Institute for Advances in Optimization (AI4OPT), Georgia Institute of Technology · School of Electrical and Computer Engineering (ECE), Georgia Institute of Technology

Conformal Prediction Set-Valued Prediction

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Conformal prediction (CP) provides distribution-free coverage guarantees under exchangeability, but the efficiency of its prediction regions depends critically on the choice of the conformity score. This is particularly important in multivariate regression, where dependencies across output dimensions induce complex joint uncertainty structures. This paper introduces CoCoNet (Convex Conformal Network) for learning convex conformity scores that induce flexible, data-adaptive prediction regions. CoCoNet learns the score from held-out data by optimizing prediction-region efficiency while enforcing convexity with respect to the residual. CoCoNet then applies split-conformal calibration to retain finite-sample coverage guarantees. The paper presents two variants of the method: CoCoNet

_{\mathrm{Spline}}

, based on piecewise-linear scores, and CoCoNet

_{\mathrm{ICNN}}

, based on Input Convex Neural Networks. Experiments compare CoCoNet with other CP baselines over synthetic and real-world datasets with output dimensions ranging from 2 to 16. The results demonstrate the flexibility of CoCoNet in learning different response types. Across 8 models and 30 multi-dimensional regression tasks, CoCoNet

_\text{ICNN}

and CoCoNet

_{\mathrm{Spline}\text{-}\ell_1}

achieve the best efficiencies with average ranks of 1.45 and 2.75, respectively. In particular, CoCoNet

_\text{ICNN}

ranks first on 22 tasks out of 30 in terms of efficiency.