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Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology
  Dependence

Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence

6 May 2015
Nihar B. Shah
Sivaraman Balakrishnan
Joseph K. Bradley
Abhay K. Parekh
Kannan Ramchandran
Martin J. Wainwright
ArXivPDFHTML

Papers citing "Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence"

35 / 35 papers shown
Title
Learning Guarantee of Reward Modeling Using Deep Neural Networks
Learning Guarantee of Reward Modeling Using Deep Neural Networks
Yuanhang Luo
Yeheng Ge
Ruijian Han
Guohao Shen
34
0
0
10 May 2025
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Yilun Zhou
Austin Xu
Peifeng Wang
Caiming Xiong
Chenyu You
ELM
ALM
LRM
56
2
0
21 Apr 2025
Towards User-level Private Reinforcement Learning with Human Feedback
Towards User-level Private Reinforcement Learning with Human Feedback
Jun Zhang
Mingxi Lei
Meng Ding
Mengdi Li
Zihang Xiang
Difei Xu
Jinhui Xu
Di Wang
47
0
0
22 Feb 2025
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
Sze Ming Lee
Yunxiao Chen
42
0
0
13 Jan 2025
Statistical ranking with dynamic covariates
Statistical ranking with dynamic covariates
Pinjun Dong
Ruijian Han
Binyan Jiang
Yiming Xu
48
0
0
24 Jun 2024
Top-$K$ ranking with a monotone adversary
Top-KKK ranking with a monotone adversary
Yuepeng Yang
Antares Chen
Lorenzo Orecchia
Cong Ma
37
1
0
12 Feb 2024
Iterative Data Smoothing: Mitigating Reward Overfitting and
  Overoptimization in RLHF
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF
Banghua Zhu
Michael I. Jordan
Jiantao Jiao
31
25
0
29 Jan 2024
Learning Rich Rankings
Learning Rich Rankings
Arjun Seshadri
Stephen Ragain
J. Ugander
19
12
0
22 Dec 2023
Distributional Preference Learning: Understanding and Accounting for
  Hidden Context in RLHF
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
Anand Siththaranjan
Cassidy Laidlaw
Dylan Hadfield-Menell
34
58
0
13 Dec 2023
On Sinkhorn's Algorithm and Choice Modeling
On Sinkhorn's Algorithm and Choice Modeling
Zhaonan Qu
Alfred Galichon
Johan Ugander
Johan Ugander
34
3
0
30 Sep 2023
A unified analysis of likelihood-based estimators in the Plackett--Luce
  model
A unified analysis of likelihood-based estimators in the Plackett--Luce model
Ruijian Han
Yiming Xu
28
5
0
05 Jun 2023
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via
  Pessimism
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism
Zihao Li
Zhuoran Yang
Mengdi Wang
OffRL
31
55
0
29 May 2023
Score Attack: A Lower Bound Technique for Optimal Differentially Private
  Learning
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
T. Tony Cai
Yichen Wang
Linjun Zhang
46
16
0
13 Mar 2023
Optimal and Private Learning from Human Response Data
Optimal and Private Learning from Human Response Data
Duc Nguyen
A. Zhang
25
1
0
10 Mar 2023
Principled Reinforcement Learning with Human Feedback from Pairwise or
  $K$-wise Comparisons
Principled Reinforcement Learning with Human Feedback from Pairwise or KKK-wise Comparisons
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
OffRL
42
181
0
26 Jan 2023
Perfect Sampling from Pairwise Comparisons
Perfect Sampling from Pairwise Comparisons
Dimitris Fotakis
Alkis Kalavasis
Christos Tzamos
26
3
0
23 Nov 2022
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank
  Aggregation Is the Fixed Point of Adversarial Game
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game
Ke Ma
Qianqian Xu
Jinshan Zeng
Guorong Li
Xiaochun Cao
Qingming Huang
AAML
19
20
0
13 Sep 2022
Modeling and Correcting Bias in Sequential Evaluation
Modeling and Correcting Bias in Sequential Evaluation
Jingyan Wang
A. Pananjady
16
2
0
03 May 2022
Antipatterns in Software Classification Taxonomies
Antipatterns in Software Classification Taxonomies
Cezar Sas
A. Capiluppi
24
8
0
19 Apr 2022
Quadratic Metric Elicitation for Fairness and Beyond
Quadratic Metric Elicitation for Fairness and Beyond
G. Hiranandani
Jatin Mathur
Harikrishna Narasimhan
Oluwasanmi Koyejo
27
5
0
03 Nov 2020
A General Pairwise Comparison Model for Extremely Sparse Networks
A General Pairwise Comparison Model for Extremely Sparse Networks
Ruijian Han
Yiming Xu
Kani Chen
17
7
0
20 Feb 2020
Active embedding search via noisy paired comparisons
Active embedding search via noisy paired comparisons
Gregory H. Canal
A. Massimino
Mark A. Davenport
Christopher Rozell
36
23
0
10 May 2019
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference
  Aggregation
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation
Jing Li
Rafał K. Mantiuk
Junle Wang
Suiyi Ling
P. Le Callet
14
36
0
20 Oct 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown
  Permutations
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations
Cheng Mao
A. Pananjady
Martin J. Wainwright
18
13
0
25 Jun 2018
On Strategyproof Conference Peer Review
On Strategyproof Conference Peer Review
Yichong Xu
Haiying Zhao
Xiaofei Shi
Jeremy Zhang
Nihar B. Shah
25
49
0
16 Jun 2018
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in
  Ratings
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings
Jingyan Wang
Nihar B. Shah
21
74
0
13 Jun 2018
A practical guide and software for analysing pairwise comparison
  experiments
A practical guide and software for analysing pairwise comparison experiments
Maria Perez-Ortiz
Rafał K. Mantiuk
17
99
0
11 Dec 2017
Minimax Rates and Efficient Algorithms for Noisy Sorting
Minimax Rates and Efficient Algorithms for Noisy Sorting
Cheng Mao
Jonathan Niles-Weed
Philippe Rigollet
30
40
0
28 Oct 2017
Parameter Estimation for Thurstone Choice Models
Parameter Estimation for Thurstone Choice Models
Milan Vojnović
Seyoung Yun
26
3
0
29 Apr 2017
Active Ranking from Pairwise Comparisons and when Parametric Assumptions
  Don't Help
Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help
Reinhard Heckel
Nihar B. Shah
Kannan Ramchandran
Martin J. Wainwright
13
10
0
28 Jun 2016
Going Deeper for Multilingual Visual Sentiment Detection
Going Deeper for Multilingual Visual Sentiment Detection
Maria-Florina Balcan
Colin White
ObjD
32
5
0
30 May 2016
A Multiresolution Analysis Framework for the Statistical Analysis of
  Incomplete Rankings
A Multiresolution Analysis Framework for the Statistical Analysis of Incomplete Rankings
Eric Sibony
Stéphan Clémenccon
J. Jakubowicz
15
2
0
04 Jan 2016
Simple, Robust and Optimal Ranking from Pairwise Comparisons
Simple, Robust and Optimal Ranking from Pairwise Comparisons
Nihar B. Shah
Martin J. Wainwright
29
172
0
30 Dec 2015
Stochastically Transitive Models for Pairwise Comparisons: Statistical
  and Computational Issues
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
Nihar B. Shah
Sivaraman Balakrishnan
Adityanand Guntuboyina
Martin J. Wainwright
28
146
0
19 Oct 2015
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah
Dengyong Zhou
FedML
28
108
0
06 Aug 2014
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