Uncertainty Quantification for Ranking with Heterogeneous Preferences
Fuente:
arXiv
Saved in:
| Main Authors: | Fan, Jianqing, Kwon, Hyukjun, Zhu, Xiaonan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)
by: Fan, Jianqing, et al.
Published: (2022)
Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Spectral Ranking Inferences based on General Multiway Comparisons
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Uncertainty Quantification and Confidence Intervals for Naive Rare-Event Estimators
by: Bai, Yuanlu, et al.
Published: (2023)
by: Bai, Yuanlu, et al.
Published: (2023)
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
by: Agarwal, Abhineet, et al.
Published: (2025)
by: Agarwal, Abhineet, et al.
Published: (2025)
Neural Conditional Probability for Uncertainty Quantification
by: Kostic, Vladimir R., et al.
Published: (2024)
by: Kostic, Vladimir R., et al.
Published: (2024)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)
by: Ge, Jiawei, et al.
Published: (2024)
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
When can weak latent factors be statistically inferred?
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
by: Gu, Yihong, et al.
Published: (2024)
by: Gu, Yihong, et al.
Published: (2024)
Inference for Heteroskedastic PCA with Missing Data
by: Yan, Yuling, et al.
Published: (2021)
by: Yan, Yuling, et al.
Published: (2021)
Optimal Demixing of Nonparametric Densities
by: Fan, Jianqing, et al.
Published: (2026)
by: Fan, Jianqing, et al.
Published: (2026)
Communication-Efficient Distributed Estimation and Inference for Cox's Model
by: Bayle, Pierre, et al.
Published: (2023)
by: Bayle, Pierre, et al.
Published: (2023)
Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces
by: Lugosi, Gábor, et al.
Published: (2025)
by: Lugosi, Gábor, et al.
Published: (2025)
Uncertainty of high-dimensional genetic data prediction with polygenic risk scores
by: Fu, Haoxuan, et al.
Published: (2024)
by: Fu, Haoxuan, et al.
Published: (2024)
Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization
by: Gu, Yihong, et al.
Published: (2025)
by: Gu, Yihong, et al.
Published: (2025)
Enhanced Rank-Based Correlation Estimation Using Smoothed Wilcoxon Rank Scores
by: Tasdan, Feridun, et al.
Published: (2025)
by: Tasdan, Feridun, et al.
Published: (2025)
Uncertainty quantification for intervals
by: Meixide, Carlos García, et al.
Published: (2024)
by: Meixide, Carlos García, et al.
Published: (2024)
Quantification and cross-fitting inference of asymmetric relations under generative exposure mapping models
by: Purkayastha, Soumik, et al.
Published: (2023)
by: Purkayastha, Soumik, et al.
Published: (2023)
Representation Learning with Blockwise Missingness and Signal Heterogeneity
by: Liu, Ziqi, et al.
Published: (2026)
by: Liu, Ziqi, et al.
Published: (2026)
L-Estimation of Population Quantiles Using Ranked Set Sampling
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
by: Jozani, Mohammad Jafari, et al.
Published: (2026)
Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications
by: Agterberg, Joshua, et al.
Published: (2024)
by: Agterberg, Joshua, et al.
Published: (2024)
The Bayesian Way: Uncertainty, Learning, and Statistical Reasoning
by: Sosa, Juan, et al.
Published: (2025)
by: Sosa, Juan, et al.
Published: (2025)
Distributed Tensor Principal Component Analysis with Data Heterogeneity
by: Chen, Elynn, et al.
Published: (2024)
by: Chen, Elynn, et al.
Published: (2024)
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
by: Guo, F. Richard, et al.
Published: (2023)
by: Guo, F. Richard, et al.
Published: (2023)
Causal Interpretation of Regressions With Ranks
by: Lei, Lihua
Published: (2024)
by: Lei, Lihua
Published: (2024)
Inference on Consensus Ranking of Distributions
by: Kaplan, David M.
Published: (2024)
by: Kaplan, David M.
Published: (2024)
Uncertainty quantification of synchrosqueezing transform under complicated nonstationary noise
by: Wu, Hau-Tieng, et al.
Published: (2025)
by: Wu, Hau-Tieng, et al.
Published: (2025)
Model-Agnostic and Uncertainty-Aware Dimensionality Reduction in Supervised Learning
by: Yu, Yue, et al.
Published: (2026)
by: Yu, Yue, et al.
Published: (2026)
Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
by: Li, Ting, et al.
Published: (2026)
by: Li, Ting, et al.
Published: (2026)
Rank-based concordance for zero-inflated data: New representations, estimators, and sharp bounds
by: Arends, Jasper, et al.
Published: (2025)
by: Arends, Jasper, et al.
Published: (2025)
Asymptotic Uncertainty in the Estimation of Frequency Domain Causal Effects for Linear Processes
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
Uncertainty, Imprecise Probabilities and Interval Capacity Measures on a Product Space
by: Basili, Marcello, et al.
Published: (2024)
by: Basili, Marcello, et al.
Published: (2024)
CINDES: Classification induced neural density estimator and simulator
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
Robust Rank Estimation for Noisy Matrices
by: Roy, Subhrajyoty, et al.
Published: (2025)
by: Roy, Subhrajyoty, et al.
Published: (2025)
Robustness and Efficiency of Rosenbaum's Rank-based Estimator in Randomized Trials: A Design-based Perspective
by: Ghosh, Aditya, et al.
Published: (2021)
by: Ghosh, Aditya, et al.
Published: (2021)
Quantifying Distributional Input Uncertainty via Inflated Kolmogorov-Smirnov Confidence Band
by: Chen, Motong, et al.
Published: (2024)
by: Chen, Motong, et al.
Published: (2024)
Minimax Regret Learning for Data with Heterogeneous Subgroups
by: Mo, Weibin, et al.
Published: (2024)
by: Mo, Weibin, et al.
Published: (2024)
Isotonic Mechanism for Exponential Family Estimation in Machine Learning Peer Review
by: Yan, Yuling, et al.
Published: (2023)
by: Yan, Yuling, et al.
Published: (2023)
Static and Dynamic BART for Rank-Order Data
by: Iacopini, Matteo, et al.
Published: (2023)
by: Iacopini, Matteo, et al.
Published: (2023)
Similar Items
-
Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022) -
Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024) -
Spectral Ranking Inferences based on General Multiway Comparisons
by: Fan, Jianqing, et al.
Published: (2023) -
Uncertainty Quantification and Confidence Intervals for Naive Rare-Event Estimators
by: Bai, Yuanlu, et al.
Published: (2023) -
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
by: Agarwal, Abhineet, et al.
Published: (2025)