Statistical inference for pairwise comparison models
Fuente:
arXiv
Saved in:
| Main Authors: | Han, Ruijian, Tang, Wenlu, Xu, Yiming |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A unified analysis of likelihood-based estimators in the Plackett--Luce model
by: Han, Ruijian, et al.
Published: (2023)
by: Han, Ruijian, et al.
Published: (2023)
Statistical inference with belief functions: A survey
by: Cuzzolin, Fabio
Published: (2026)
by: Cuzzolin, Fabio
Published: (2026)
Thompson sampling: Precise arm-pull dynamics and adaptive inference
by: Han, Qiyang
Published: (2026)
by: Han, Qiyang
Published: (2026)
Gradient descent inference in empirical risk minimization
by: Han, Qiyang, et al.
Published: (2024)
by: Han, Qiyang, et al.
Published: (2024)
Estimation and inference for the Wasserstein distance between mixing measures in topic models
by: Bing, Xin, et al.
Published: (2022)
by: Bing, Xin, et al.
Published: (2022)
Statistical guarantees for denoising reflected diffusion models
by: Holk, Asbjørn, et al.
Published: (2024)
by: Holk, Asbjørn, et al.
Published: (2024)
Generalizing while preserving monotonicity in comparison-based preference learning models
by: Fageot, Julien, et al.
Published: (2025)
by: Fageot, Julien, et al.
Published: (2025)
UCB algorithms for multi-armed bandits: Precise regret and adaptive inference
by: Han, Qiyang, et al.
Published: (2024)
by: Han, Qiyang, et al.
Published: (2024)
Online Statistical Inference in Decision-Making with Matrix Context
by: Han, Qiyu, et al.
Published: (2022)
by: Han, Qiyu, et al.
Published: (2022)
Multitask Learning and Bandits via Robust Statistics
by: Xu, Kan, et al.
Published: (2021)
by: Xu, Kan, et al.
Published: (2021)
Variational inference via radial transport
by: Ghafourpour, Luca, et al.
Published: (2026)
by: Ghafourpour, Luca, et al.
Published: (2026)
Selective inference using randomized group lasso estimators for general models
by: Huang, Yiling, et al.
Published: (2023)
by: Huang, Yiling, et al.
Published: (2023)
Do More Predictions Improve Statistical Inference? Filtered Prediction-Powered Inference
by: Xu, Shirong, et al.
Published: (2026)
by: Xu, Shirong, et al.
Published: (2026)
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
by: Rajaraman, Nived, et al.
Published: (2023)
by: Rajaraman, Nived, et al.
Published: (2023)
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
by: Lin, Licong, et al.
Published: (2025)
by: Lin, Licong, et al.
Published: (2025)
Statistical optimal transport
by: Chewi, Sinho, et al.
Published: (2024)
by: Chewi, Sinho, et al.
Published: (2024)
Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps
by: Ma, Wanteng, et al.
Published: (2024)
by: Ma, Wanteng, et al.
Published: (2024)
Joint stochastic localization and applications
by: Alberts, Tom, et al.
Published: (2025)
by: Alberts, Tom, et al.
Published: (2025)
Posterior and variational inference for deep neural networks with heavy-tailed weights
by: Castillo, Ismaël, et al.
Published: (2024)
by: Castillo, Ismaël, et al.
Published: (2024)
Online selective conformal inference: adaptive scores, convergence rate and optimality
by: Humbert, Pierre, et al.
Published: (2025)
by: Humbert, Pierre, et al.
Published: (2025)
Statistical Inference under Performativity
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Statistically guided deep learning
by: Kohler, Michael, et al.
Published: (2025)
by: Kohler, Michael, et al.
Published: (2025)
Statistical and computational challenges in ranking
by: Carpentier, Alexandra, et al.
Published: (2025)
by: Carpentier, Alexandra, et al.
Published: (2025)
Dynamic treatment effects: high-dimensional inference under model misspecification
by: Zhang, Yuqian, et al.
Published: (2021)
by: Zhang, Yuqian, et al.
Published: (2021)
Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Statistics of Min-max Normalized Eigenvalues in Random Matrices
by: Nakada, Hyakka, et al.
Published: (2025)
by: Nakada, Hyakka, et al.
Published: (2025)
Statistical Inverse Problems in Hilbert Scales
by: Rastogi, Abhishake
Published: (2022)
by: Rastogi, Abhishake
Published: (2022)
Statistical Learning Theory for Distributional Classification
by: Fiedler, Christian
Published: (2026)
by: Fiedler, Christian
Published: (2026)
Observable Geometry of Singular Statistical Models
by: Plummer, Sean
Published: (2026)
by: Plummer, Sean
Published: (2026)
Statistical Agnostic Regression: a machine learning method to validate regression models
by: Gorriz, Juan M, et al.
Published: (2024)
by: Gorriz, Juan M, et al.
Published: (2024)
Simultaneous analysis of approximate leave-one-out cross-validation and mean-field inference
by: Bellec, Pierre C
Published: (2025)
by: Bellec, Pierre C
Published: (2025)
Predictive inference for time series: why is split conformal effective despite temporal dependence?
by: Barber, Rina Foygel, et al.
Published: (2025)
by: Barber, Rina Foygel, et al.
Published: (2025)
Inverting estimating equations for causal inference on quantiles
by: Cheng, Chao, et al.
Published: (2024)
by: Cheng, Chao, et al.
Published: (2024)
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
Stability and Accuracy Trade-offs in Statistical Estimation
by: Chakraborty, Abhinav, et al.
Published: (2026)
by: Chakraborty, Abhinav, et al.
Published: (2026)
Linear Response Estimators for Singular Statistical Models
by: Elliott, Chris, et al.
Published: (2026)
by: Elliott, Chris, et al.
Published: (2026)
Early-stopped aggregation: Adaptive inference with computational efficiency
by: Ohn, Ilsang, et al.
Published: (2026)
by: Ohn, Ilsang, et al.
Published: (2026)
Dimension-agnostic inference using cross U-statistics
by: Kim, Ilmun, et al.
Published: (2020)
by: Kim, Ilmun, et al.
Published: (2020)
Semi-parametric inference based on adaptively collected data
by: Lin, Licong, et al.
Published: (2023)
by: Lin, Licong, et al.
Published: (2023)
Anytime-valid off-policy inference for contextual bandits
by: Waudby-Smith, Ian, et al.
Published: (2022)
by: Waudby-Smith, Ian, et al.
Published: (2022)
Similar Items
-
A unified analysis of likelihood-based estimators in the Plackett--Luce model
by: Han, Ruijian, et al.
Published: (2023) -
Statistical inference with belief functions: A survey
by: Cuzzolin, Fabio
Published: (2026) -
Thompson sampling: Precise arm-pull dynamics and adaptive inference
by: Han, Qiyang
Published: (2026) -
Gradient descent inference in empirical risk minimization
by: Han, Qiyang, et al.
Published: (2024) -
Estimation and inference for the Wasserstein distance between mixing measures in topic models
by: Bing, Xin, et al.
Published: (2022)