Cover Image

Metric Learning from Limited Pairwise Preference Comparisons

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhi, So, Geelon, Vinayak, Ramya Korlakai
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
by: Wang, Zhi, et al.
Published: (2025)

PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
by: Chen, Daiwei, et al.
Published: (2024)

Metric Learning in an RKHS
by: Tatli, Gokcan, et al.
Published: (2025)

Almost Asymptotically Optimal Active Clustering Through Pairwise Observations
by: Teo, Rachel S. Y., et al.
Published: (2026)

Taming False Positives in Out-of-Distribution Detection with Human Feedback
by: Vishwakarma, Harit, et al.
Published: (2024)

Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection
by: Yamada, Daisuke, et al.
Published: (2025)

Online Consistency of the Nearest Neighbor Rule
by: Dasgupta, Sanjoy, et al.
Published: (2024)

Promises and Pitfalls of Threshold-based Auto-labeling
by: Vishwakarma, Harit, et al.
Published: (2022)

Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
by: Chen, Yi, et al.
Published: (2026)

Learnable Mixed Nash Equilibria are Collectively Rational
by: So, Geelon, et al.
Published: (2025)

On the sample complexity of semi-supervised multi-objective learning
by: Wegel, Tobias, et al.
Published: (2025)

What Does Preference Learning Recover from Pairwise Comparison Data?
by: Pukdee, Rattana, et al.
Published: (2026)

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
by: Vishwakarma, Harit, et al.
Published: (2024)

Actively Learning Halfspaces without Synthetic Data
by: Black, Hadley, et al.
Published: (2025)

Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
by: Lee, Joongkyu, et al.
Published: (2025)

Learning from Similarity/Dissimilarity and Pairwise Comparison
by: Tate, Tomoya, et al.
Published: (2026)

Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons
by: Rahmani, Hazhar, et al.
Published: (2025)

Agentic Very Long Video Understanding
by: Rege, Aniket, et al.
Published: (2026)

GRASP: Graph Agentic Search over Propositions for Multi-hop Question Answering
by: Jenkins, Stockton, et al.
Published: (2026)

Fair Active Ranking from Pairwise Preferences
by: Gorantla, Sruthi, et al.
Published: (2024)

Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems
by: Carr, Jonathan Colaço, et al.
Published: (2026)

Learning Recourse Costs from Pairwise Feature Comparisons
by: Rawal, Kaivalya, et al.
Published: (2024)

Score-Based Density Estimation from Pairwise Comparisons
by: Mikkola, Petrus, et al.
Published: (2025)

Online Rubrics Elicitation from Pairwise Comparisons
by: Rezaei, MohammadHossein, et al.
Published: (2025)

Optimal Differentially Private Ranking from Pairwise Comparisons
by: Cai, T. Tony, et al.
Published: (2025)

Continuum-armed Bandit Optimization with Batch Pairwise Comparison Oracles
by: Chang, Xiangyu, et al.
Published: (2025)

Quantifying Multimodal Capabilities: Formal Generalization Guarantees in Pairwise Metric Learning
by: Zhou, Richeng, et al.
Published: (2026)

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
by: AlQuabeh, Hilal, et al.
Published: (2024)

Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
by: Lee, Sze Ming, et al.
Published: (2025)

Learning Linear Utility Functions From Pairwise Comparison Queries
by: Ge, Luise, et al.
Published: (2024)

Efficient Bayesian Inference from Noisy Pairwise Comparisons
by: Aczel, Till, et al.
Published: (2025)

Feedback Descent: Open-Ended Text Optimization via Pairwise Comparison
by: Lee, Yoonho, et al.
Published: (2025)

Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models
by: Wang, Austin, et al.
Published: (2026)

Mollifier Layers: Enabling Efficient High-Order Derivatives in Inverse PDE Learning
by: Bhartari, Ananyae Kumar, et al.
Published: (2025)

Towards Data-Centric RLHF: Simple Metrics for Preference Dataset Comparison
by: Shen, Judy Hanwen, et al.
Published: (2024)

Classifying Inconsistency in AHP Pairwise Comparison Matrices Using Machine Learning
by: Bose, Amarnath
Published: (2025)

Pairwise Difference Learning for Classification
by: Belaid, Mohamed Karim, et al.
Published: (2024)

Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons
by: Zhu, Banghua, et al.
Published: (2023)

On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
by: Chen, Zhirui, et al.
Published: (2024)

Correlation Clustering with Active Learning of Pairwise Similarities
by: Aronsson, Linus, et al.
Published: (2023)