The Analysis of Permutations

Cited by (732)

Items 601–700 of 732

1. Eliciting and Aggregating Truthful and Noisy
   Xi Alice Gao, C© Xi Gao, Dissertation Advisor, Yiling Chen, Xi Gao · 2014
2. Machine learning methods and models for ranking
   Richard S. Zemel, Maksims Volkovs · 2013
3. DPListCF: A differentially private approach for listwise collaborative filtering
   Yuncheng Wu, Juru Zeng, Hong Chen, Yao Wu, Wenjuan Liang, Hui Peng, Cuiping Li · 2016 · IEEE Symposium on Computers and Communications (ISCC)
4. Statistical models and inference for dynamic networks
   Daniel K. Sewell · 2015 · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
5. Group Decision Making with Partial Preferences
   Tyler Lu · 2015 · TSpace (University of Toronto)
6. Assisting End-users in Filling Out Web Services
   Shaohua Wang · 2016 · QSpace (Queen's University Library)
7. Learning to Rank Algorithms and Their Application in Machine Translation
   Tian Xia · 2015 · Journal of Bioresource Management
8. Data-driven algorithms for operational problems
   Wang Chi Cheung · 2017 · DSpace@MIT (Massachusetts Institute of Technology)
9. A Restricted Markov Tree Model for Inference and Generation in Social Choice with Incomplete Preferences
   John A. Doucette, Robin A Cohen · 2017 · Adaptive Agents and Multi-Agents Systems
10. Four fundamental processes of community assembly
    Joshua Ladau, Steven J. Schwager · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
11. Strategic Voting and Social Networks
    Alan Tsang · 2018 · UWSpace (University of Waterloo)
12. Probabilistic latent variable models for knowledge discovery and optimization
    Xiaolong Wang · 2017 · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
13. A New Correlation Coefficient for Aggregating Non-strict and Incomplete Rankings
    Yeawon Yoo, Adolfo R. Escobedo, J. Kyle Skolfield · 2018 · arXiv (Cornell University)
14. Towards Non-Parametric Learning to Rank
    Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia · 2018 · arXiv (Cornell University)
15. Bayesian analysis of ranking data with the constrained Extended Plackett-Luce model
    Cristina Mollica, Luca Tardella · 2018 · arXiv (Cornell University)
16. Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach
    Stéphan Clémençon, Mastane Achab, Anna Korba · 2019 · HAL
17. Time-homogeneous top-K ranking using tensor decompositions
    Masoud Ataei, Shengyuan Chen, Zijiang Yang, Mohammad Reza Peyghami · 2019 · Optimization methods & software
18. Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models
    Chenyang Zhang, Guosheng Yin · 2019 · International Conference on Machine Learning
19. Inference Algorithms for the Multiplicative Mixture Mallows Model
    Ranjitha Prasad, Vincent Y. F. Tan · 2018 · International Conference on Signal Processing and Communications (SPCOM)
20. Methods for Ordinal Peer Grading
    Karthik Raman, Thorsten Joachims · 2014 · arXiv (Cornell University)
21. Limiting behaviour of the stationary search cost distribution driven by a generalized gamma process
    Alfred Kume, Fabrizio Leisen, Antonio Lijoiï · 2018 · Electronic Communications in Probability
22. Music Thumbnailing by Hooks
    Arianne N. van Nieuwenhuijsen · 2019 · Utrecht University Repository (Utrecht University)
23. Statistical Methods for Data With Latent Structures
    Dingdong Yi · 2018 · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
24. Assortment Auctions: A Myersonian Characterization for Markov Chain based Choice Models
    Will Ma · 2019 · arXiv (Cornell University)
25. A simple discriminative training method for machine translation with large-scale features
    Tian Xia, Shaodan Zhai, Shaojun Wang · 2019 · arXiv (Cornell University)
26. Experimental design under comparisons
    Yuan Chen Guo · 2019
27. Best-item Learning in Random Utility Models with Subset Choices
    Aadirupa Saha, Aditya Gopalan · 2020 · arXiv (Cornell University)
28. Ranking with Genetics
    Lawrence Master · 2020 · International Journal of Information Retrieval Research
29. Learning an arbitrary mixture of two multinomial logits
    Wenpin Tang · 2020 · arXiv (Cornell University)
30. PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank
    Hai-Tao Yu · 2020 · arXiv (Cornell University)
31. Learning to Rank under Multinomial Logit Choice
    James A. Grant, David S. Leslie · 2020 · Lancaster EPrints (Lancaster University)
32. On Improving the Efficiency of Majorization-Minorization for the Inference of Rank Aggregation Models
    Leonardo Ramos Emmendörfer · 2020 · Lecture notes in computer science
33. Trustworthy Preference Completion in Social Choice
    Lei Li, Minghe Xue, Huanhuan Chen, Xindong Wu · 2020 · arXiv (Cornell University)
34. Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data
    Milan Vojnović, Se-Young Yun, Kaifang Zhou · 2019 · arXiv (Cornell University)
35. Partition-Mallows Model and Its Inference for Rank Aggregation
    Wanchuang Zhu, Yingkai Jiang, Jun S. Liu, Ke Deng · 2021 · arXiv (Cornell University)
36. On the Sample Complexity of Rank Regression from Pairwise Comparisons
    Berkan Kadıoğlu, Peng Tian, Jennifer Dy, Deniz Erdogmus B, Stratis Ioannidis · 2021 · arXiv (Cornell University)
37. Spectral ranking regression
    İlkay Yıldız · 2021
38. Preference Elicitation as Average-Case Sorting
    Dominik Peters, Ariel D. Procaccia · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
39. Data-Driven Operations Management
    Manqi Li · 2021 · Deep Blue (University of Michigan)
40. Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning
    Amanda Bower · 2020 · Deep Blue (University of Michigan)
41. Incentives for Item Duplication under Fair Ranking Policies
    Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto · 2021 · arXiv (Cornell University)
42. Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
    Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Danil Karpushkin, Dmitry Vetrov · 2021 · arXiv (Cornell University)
43. Spectral Ranking Regression
    İlkay Yıldız, Jennifer Dy, Deniz Erdogmus B, Susan R. Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis · 2022 · ACM Transactions on Knowledge Discovery from Data
44. Gambling, Statistics in
    David J. Griffiths · 2004 · Encyclopedia of Statistical Sciences
45. Permutation Models
    G. M. Tallis · 2004 · Encyclopedia of Statistical Sciences
46. Permutation Models
    G. M. Tallis · 2005 · Encyclopedia of Statistical Sciences
47. Learning from class and comparison labels
    Peng Tian · 2020
48. Gambling
    John Haigh · 2019 · Springer eBooks
49. Gambling
    John Haigh · 2016 · Springer eBooks
50. Gambling, Statistics in
    David Griffiths · 2005 · Encyclopedia of Statistical Sciences
51. Permutation Models
    G. M. Tallis · 2014 · Wiley StatsRef: Statistics Reference Online
52. Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract)
    Harrie Oosterhuis · 2022 · International Joint Conference on Artificial Intelligence
53. Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences
    Haoyue Ping, Julia Stoyanovich · 2023 · Proceedings of the ACM on Management of Data
54. The Stochastic Multi-Armed Bandit Problem
    Shipra Agrawal · 2022 · Springer series in supply chain management
55. A Multiresolution Analysis Framework for the Statistical Analysis of Incomplete Rankings
    Eric Sibony, Stéphan Clémençon, Jérémie Jakubowicz · 2016 · arXiv (Cornell University)
56. Inferring from an imprecise Plackett–Luce model: Application to label ranking
    Loïc Adam, Arthur Van Camp, Sébastien Destercke, Benjamin Quost · 2024 · Fuzzy Sets and Systems
57. A Non-utilitarian Discrete Choice Model for Preference Aggregation
    Martin Durand, Fanny Pascual, Olivier Spanjaard · 2022 · Lecture notes in computer science
58. Data synthesis in crop variety evaluation : spatio-temporal characterization of environmental adaptation
    David Brown Fuentes · 2022
59. Bayesian Latent Variable Model of Mixed Correlated Rank and Beta-Binomial Responses with Missing Data for the International Statistical Literacy Project Poster Competition
    Maryam Aghayerashti, Ehsan Bahrami Samani, Mojtaba Ganjali · 2023 · Sankhya B
60. Learning to Design Fair and Private Voting Rules (Extended Abstract)
    Farhad Mohsin, Ao Liu, Pin‐Yu Chen, Francesca Rossi, Lirong Xia · 2023 · International Joint Conference on Artificial Intelligence
61. Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning
    Simon Rittel, Sebastian Tschiatschek · 2023 · Frontiers in artificial intelligence and applications
62. Dynamic Assortment Optimization of Horizontally-Differentiated Products: Improved Approximations and Universal Constructions
    Aviya Goldstein Feder, Danny Segev · 2023 · SSRN Electronic Journal
63. Ranking-Based Second Stage in Data Envelopment Analysis: An Application to Research Efficiency in Higher Education
    Vladimír Holý · 2024 · SSRN Electronic Journal
64. Mixtures of Plackett-Luce Models with Three-way Structured Partial Rankings
    Aling Liao · 2024 · Research Square
65. Dynamic Parameter Estimation for Mixtures of Plackett-Luce Models
    Aling Liao, Zan Zhang, Chenyang Bu, Lei Li · 2024 · IFIP advances in information and communication technology
66. Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees
    Jingwei Kang, Maarten de Rijke, Harrie Oosterhuis · 2024 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
67. A generative approach to frame-level multi-competitor races
    Tyrel Stokes, Gurashish Bagga, Kimberly Kroetch, Brendan Kumagai, Liam Welsh · 2024 · Journal of Quantitative Analysis in Sports
68. Bayesian Rank Likelihood Estimation for Spatial Latent Trait Model
    Daniel Biftu Bekalo, Anthony Wanjoya, Samuel Musili Mwalili · 2024 · Research Square
69. Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance
    Lang Zeng, Weijing Tang, Zhao Xu Ren, Ying Ding · 2026 · Journal of the American Statistical Association
70. Neural-Network Mixed Logit Choice Model: Statistical and Optimality Guarantees
    Zhi Wang, Rui Gao, Shuang Li · 2025 · SSRN Electronic Journal
71. Assortment Optimization under the Generalized Markov Chain Choice Model
    Pengyu Yan, Sentao Miao, Haoyu Xie · 2025 · SSRN Electronic Journal
72. LambdaFair for Fair and Effective Ranking
    Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando · 2025 · Lecture notes in computer science
73. Analyzing and forecasting success in the Men’s Ice Hockey World (Junior) Championships using a dynamic ranking model
    Vladimír Holý · 2025 · Journal of Quantitative Analysis in Sports
74. Extracting preference relations from data: Clustering with transitive centroids
    Debora de Chiusole, Luca Stefanutti, Andrea Brancaccio · 2025 · Behavior Research Methods
75. Bidding for Talent: A Test of Conduct in a High-Wage Labor Market
    Nina Roussille, Benjamin Scuderi · 2025 · SSRN Electronic Journal
76. Ranking a Set of Objects Using Heterogeneous Workers: QUITE an Easy Problem
    Alessandro Nordio, Alberto Tarable, Emilio Leonardi · 2025 · IEEE Transactions on Network Science and Engineering
77. Understanding Farmer preferences through citizen Science: Insights on potato varieties in Nigeria
    Kalpana Sharma, Elly Ouma Atieno, James N. Mugo, Kauê de Sousa, Jacob van Etten, Shadrack O. Nyawade · 2025 · Journal of Agriculture and Food Research
78. Pairwise Sample Complexity for Fair Active Ranking with Cascaded Norm Objectives
    Sruthi Gorantla, Sara Ahmadian · 2025 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
79. Stability Post-processing for Items Importance in Preference Learning via the Bayesian Mallows Model
    Luca Coraggio, Valeria Vitelli · 2025 · Studies in classification, data analysis, and knowledge organization
80. What and When to Sell in Livestreaming: A Structural Analysis of Online Decision-Making
    Jingwen Zhang, Shaohui Wu, Yong Tan · 2025 · SSRN Electronic Journal
81. Evaluating accuracy and bias of different comparative judgment equating methods against traditional statistical equating
    Milja Curcin, Melissa Zhang Lee · 2025 · Frontiers in Education
82. AncientTRD: A Novel Text Reuse Detection Method for Ancient Chinese Literature
    Binghao Fu, Jun Wang · 2025 · Applied Sciences
83. Wine Stars & Bars: The combinatorics of critic consensus and the usefulness of order preference models
    Jeffrey C. Bodington · 2025 · Journal of Wine Economics
84. Application of offset ranking models to two-run ski races
    Paola Bortot, Stuart Coles · 2025 · Journal of the Royal Statistical Society Series C (Applied Statistics)
85. Static and Dynamic BART for Rank-Order Data
    Matteo Iacopini, Eoghan O’Neill, Luca Rossini · 2025 · Journal of Business and Economic Statistics
86. How are people’s explanations of the behaviour of robots structured? An exploratory study and discussion
    Agnese Augello, Maria Rausa, Edoardo Datteri, Nicola Zagni, Antonio Lieto · 2025 · IEEE Conference on Pervasive and Intelligent Computing (PICom)
87. Exploring Company Profitability in Review-Driven Competitive Markets via a Multidimensional Social Learning Agent-Based Model
    Tian Cheng · 2025 · International Conference on Digital Economy and Computer Science (DECS)
88. Monotonicity, Smoothness, and the Exponential Frontier in Score-Based Randomized Priority Allocation
    Tingyi Lin, Weiyu Qi, Karl Yu, Huanxi Zhang · 2026 · SSRN Electronic Journal
89. Tanzanian farmers’ preferred traits for common bean varieties: breeding insights from the tricot approach
    Edith Kadege, Pavithravani B. Venkataramana, Teshale Assefa, Joseph Ndunguru, Sylvia Kalemera, Justus Afari-Sefa Victor Philipo Lukumay Dubois Thomas Ochieng, Eileen Bogweh Nchanji, Jean Claude Rubyogo, Ernest Rashid Mbega · 2026 · Frontiers in Sustainable Food Systems
90. Evaluating management options for high-density recruitment events in the Atlantic sea scallop fishery: A decision tree approach
    Kaitlyn R Kowaleski, Andrew M. Scheld, Jonathon Peros, Sally A. Roman, Roger L. Mann, David B. Rudders · 2026 · North American Journal of Fisheries Management
91. MobiTwin: Toward Building End-to-End Framework for User’s Mobile Twins
    Saranya Venkatraman, Thanh Tran, Shunyan Luo, Devin Chen, Yuning Wu, Kai Wei · 2025 · IEEE International Conference on Cognitive Machine Intelligence (CogMI)
92. Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization
    Caio Azevedo, Lina Achaji, Stefano Sabatini, Nicola Poerio, Grzegorz Bartyzel, Sascha Hornauer, Fabien Moutarde · 2025 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
93. Principles and performance of wastewater concentration methods for environmental surveillance of viruses: a systematic review and meta-analysis
    Joyce Odeke Akello, Ben Bellekom, Alex Shaw, Nicholas C. Grassly · 2026 · medRxiv
94. Rank Aggregation of Fundamental Frequency Estimation Laws for Historic Towers
    Alessio Crocetti, Raimondo Betti, Rosario Ceravolo, Hamid Imani Moghaddam, Gaetano Miraglia, Salvatore Russo, Linda Scussolini · 2026 · Rilem bookseries
95. Per Instance Algorithm Configuration for Continuous Black Box Optimization
    Nacim Belkhir · 2017
96. Steps towards decisiveness in social choice
    Justin Kruger · 2019
97. Contribution à des problèmes statistiques d'ordonnancement et d'apprentissage par renforcement avec aversion au risque
    Mastane Achab · 2020
98. Learning from ranking data : theory and methods
    Anna Korba · 2018
99. Modeling and management of imperfect preferences with the theory of belief functions
    Yiru Zhang · 2020
100. Axonal ensembles repeatedly cluster and order synapses along dendrites in mouse cortex
     Saarthak Sarup, Kwabena A. Boahen · 2026 · bioRxiv (Cold Spring Harbor Laboratory)