mallows model

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making AAAI 2024 Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist ICML 2023 Strategyproof Voting under Correlated Beliefs NeurIPS 2023 On A Mallows-type Model For (Ranked) Choices NeurIPS 2022 Truth-Tracking via Approval Voting: Size Matters AAAI 2022 Aggregating Incomplete and Noisy Rankings AISTATS 2021 Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability ICML 2021 Identity testing for Mallows model NeurIPS 2021 Learning sparse mixtures of permutations from noisy information COLT 2021 Preference Elicitation as Average-Case Sorting AAAI 2021 Private and Non-private Uniformity Testing for Ranking Data NeurIPS 2021 Putting a Compass on the Map of Elections IJCAI 2021 The Smoothed Complexity of Computing Kemeny and Slater Rankings AAAI 2021 Efficient Parameter Estimation of Truncated Boolean Product Distributions COLT 2020 Optimal Statistical Hypothesis Testing for Social Choice UAI 2020 Approximate Inference of Outcomes in Probabilistic Elections AAAI 2019 Mallows ranking models: maximum likelihood estimate and regeneration ICML 2019 Optimal Learning of Mallows Block Model COLT 2019 Mallows Models for Top-k Lists NeurIPS 2018 Probabilistic preference learning with the Mallows rank model JMLR 2018 Efficient Rank Aggregation via Lehmer Codes AISTATS 2017 Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017 Assortment Optimization Under the Mallows model NeurIPS 2016 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014