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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
K. Ramchandran
Martin J. Wainwright
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Papers citing "Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence"

30 / 30 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
31
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
Shafiq R. Joty
ELM
ALM
LRM
50
2
0
21 Apr 2025
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
Sze Ming Lee
Yunxiao Chen
37
0
0
13 Jan 2025
Statistical ranking with dynamic covariates
Statistical ranking with dynamic covariates
Pinjun Dong
Ruijian Han
Binyan Jiang
Yiming Xu
42
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
28
25
0
29 Jan 2024
Learning Rich Rankings
Learning Rich Rankings
Arjun Seshadri
Stephen Ragain
J. Ugander
19
12
0
22 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
29
54
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
41
16
0
13 Mar 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
17
20
0
13 Sep 2022
Modeling and Correcting Bias in Sequential Evaluation
Modeling and Correcting Bias in Sequential Evaluation
Jingyan Wang
A. Pananjady
11
2
0
03 May 2022
Antipatterns in Software Classification Taxonomies
Antipatterns in Software Classification Taxonomies
Cezar Sas
A. Capiluppi
19
8
0
19 Apr 2022
A General Pairwise Comparison Model for Extremely Sparse Networks
A General Pairwise Comparison Model for Extremely Sparse Networks
Ruijian Han
Yiming Xu
Kani Chen
13
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
28
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
15
13
0
25 Jun 2018
On Strategyproof Conference Peer Review
On Strategyproof Conference Peer Review
Yichong Xu
H. Zhao
Xiaofei Shi
Jeremy Zhang
Nihar B. Shah
20
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
13
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
21
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
K. Ramchandran
Martin J. Wainwright
11
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
27
25
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
13
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
18
171
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
20
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
21
108
0
06 Aug 2014
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