Generalizing while preserving monotonicity in comparison-based preference learning models
Fuente:
arXiv
Saved in:
| Main Authors: | Fageot, Julien, Blanchard, Peva, Bareilles, Gilles, Hoang, Lê-Nguyên |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Monotonicity in AI Alignment
by: Bareilles, Gilles, et al.
Published: (2025)
by: Bareilles, Gilles, et al.
Published: (2025)
Byzantine Machine Learning: MultiKrum and an optimal notion of robustness
by: Bareilles, Gilles, et al.
Published: (2026)
by: Bareilles, Gilles, et al.
Published: (2026)
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
by: Fageot, Julien, et al.
Published: (2023)
by: Fageot, Julien, et al.
Published: (2023)
Statistical learning on measures: an application to persistence diagrams
by: Hacquard, Olympio, et al.
Published: (2023)
by: Hacquard, Olympio, et al.
Published: (2023)
Piecewise Polynomial Regression of Tame Functions via Integer Programming
by: Bareilles, Gilles, et al.
Published: (2023)
by: Bareilles, Gilles, et al.
Published: (2023)
On Goodhart's law, with an application to value alignment
by: El-Mhamdi, El-Mahdi, et al.
Published: (2024)
by: El-Mhamdi, El-Mahdi, et al.
Published: (2024)
Distributionally-Constrained Adversaries in Online Learning
by: Blanchard, Moïse, et al.
Published: (2025)
by: Blanchard, Moïse, et al.
Published: (2025)
Statistical inference for pairwise comparison models
by: Han, Ruijian, et al.
Published: (2024)
by: Han, Ruijian, et al.
Published: (2024)
Top-$K$ ranking with a monotone adversary
by: Yang, Yuepeng, et al.
Published: (2024)
by: Yang, Yuepeng, et al.
Published: (2024)
Convex SGD: Generalization Without Early Stopping
by: Hendrickx, Julien, et al.
Published: (2024)
by: Hendrickx, Julien, et al.
Published: (2024)
An analysis of the noise schedule for score-based generative models
by: Strasman, Stanislas, et al.
Published: (2024)
by: Strasman, Stanislas, et al.
Published: (2024)
Strong identifiability and parameter learning in regression with heterogeneous response
by: Do, Dat, et al.
Published: (2022)
by: Do, Dat, et al.
Published: (2022)
Cover meets Robbins while Betting on Bounded Data: $\ln n$ Regret and Almost Sure $\ln\ln n$ Regret
by: Agrawal, Shubhada, et al.
Published: (2026)
by: Agrawal, Shubhada, et al.
Published: (2026)
Consistency and Inconsistency in $K$-Means Clustering
by: Blanchard, Moïse, et al.
Published: (2025)
by: Blanchard, Moïse, et al.
Published: (2025)
Adaptive deep learning for nonlinear time series models
by: Kurisu, Daisuke, et al.
Published: (2022)
by: Kurisu, Daisuke, et al.
Published: (2022)
The monotonicity of the Franz-Parisi potential is equivalent with Low-degree MMSE lower bounds
by: Tsirkas, Konstantinos, et al.
Published: (2026)
by: Tsirkas, Konstantinos, et al.
Published: (2026)
Optimal community detection in dense bipartite graphs
by: Chhor, Julien, et al.
Published: (2025)
by: Chhor, Julien, et al.
Published: (2025)
A probabilistic view on Riemannian machine learning models for SPD matrices
by: de Surrel, Thibault, et al.
Published: (2025)
by: de Surrel, Thibault, et al.
Published: (2025)
Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity
by: Yan, Fanqi, et al.
Published: (2026)
by: Yan, Fanqi, et al.
Published: (2026)
Generalization of LiNGAM that allows confounding
by: Suzuki, Joe, et al.
Published: (2024)
by: Suzuki, Joe, et al.
Published: (2024)
Gaussian-Smoothed Sliced Probability Divergences
by: Alaya, Mokhtar Z., et al.
Published: (2024)
by: Alaya, Mokhtar Z., et al.
Published: (2024)
Minimax optimal submatrix detection: Sharp non-asymptotic rates
by: Knight, Parker, et al.
Published: (2026)
by: Knight, Parker, et al.
Published: (2026)
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
by: Ho, Binh H., et al.
Published: (2025)
by: Ho, Binh H., et al.
Published: (2025)
Generalization error of min-norm interpolators in transfer learning
by: Song, Yanke, et al.
Published: (2024)
by: Song, Yanke, et al.
Published: (2024)
Flow-based generative models as iterative algorithms in probability space
by: Xie, Yao, et al.
Published: (2025)
by: Xie, Yao, et al.
Published: (2025)
Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization
by: Bonnerjee, Soham, et al.
Published: (2026)
by: Bonnerjee, Soham, et al.
Published: (2026)
Score-based generative models are provably robust: an uncertainty quantification perspective
by: Mimikos-Stamatopoulos, Nikiforos, et al.
Published: (2024)
by: Mimikos-Stamatopoulos, Nikiforos, et al.
Published: (2024)
A Bayesian approach to learning mixtures of nonparametric components
by: Zhang, Yilei, et al.
Published: (2025)
by: Zhang, Yilei, et al.
Published: (2025)
Statistically guided deep learning
by: Kohler, Michael, et al.
Published: (2025)
by: Kohler, Michael, et al.
Published: (2025)
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)
Adaptive debiased machine learning using data-driven model selection techniques
by: van der Laan, Lars, et al.
Published: (2023)
by: van der Laan, Lars, et al.
Published: (2023)
Physics-informed kernel learning
by: Doumèche, Nathan, et al.
Published: (2024)
by: Doumèche, Nathan, et al.
Published: (2024)
The Catastrophic Failure of The k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It
by: Lederman, Roy R., et al.
Published: (2026)
by: Lederman, Roy R., et al.
Published: (2026)
Random Features for Operator-Valued Kernels: Bridging Kernel Methods and Neural Operators
by: Nguyen, Mike, et al.
Published: (2026)
by: Nguyen, Mike, et al.
Published: (2026)
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
by: Zhou, Julien, et al.
Published: (2024)
by: Zhou, Julien, et al.
Published: (2024)
The $φ$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
by: Wang, Yichen, et al.
Published: (2025)
by: Wang, Yichen, et al.
Published: (2025)
A general framework for deep learning
by: Kengne, William, et al.
Published: (2025)
by: Kengne, William, et al.
Published: (2025)
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components
by: Carmona, Chris U., et al.
Published: (2020)
by: Carmona, Chris U., et al.
Published: (2020)
On the consistency of supervised learning with missing values
by: Josse, Julie, et al.
Published: (2019)
by: Josse, Julie, et al.
Published: (2019)
Similar Items
-
On Monotonicity in AI Alignment
by: Bareilles, Gilles, et al.
Published: (2025) -
Byzantine Machine Learning: MultiKrum and an optimal notion of robustness
by: Bareilles, Gilles, et al.
Published: (2026) -
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
by: Fageot, Julien, et al.
Published: (2023) -
Statistical learning on measures: an application to persistence diagrams
by: Hacquard, Olympio, et al.
Published: (2023) -
Piecewise Polynomial Regression of Tame Functions via Integer Programming
by: Bareilles, Gilles, et al.
Published: (2023)