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Papers
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
ICLR 2024
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
EMNLP 2024
Efficient and accurate top-k recovery from choice data
UAI 2022
REGroup: Rank-Aggregating Ensemble of Generative Classifiers for Robust Predictions
WACV 2022
Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability
ICML 2021
Borda Count in Collective Decision Making: A Summary of Recent Results
AAAI 2019
Statistical Foundations of Virtual Democracy
ICML 2019
Simple, Robust and Optimal Ranking from Pairwise Comparisons
JMLR 2018
Distributional Rank Aggregation, and an Axiomatic Analysis
ICML 2015