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Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for
  Machine Learning

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

26 October 2021
Yongchan Kwon
James Y. Zou
    TDI
ArXivPDFHTML

Papers citing "Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning"

44 / 94 papers shown
Title
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms
Jiachen T. Wang
Prateek Mittal
Ruoxi Jia
TDI
41
5
0
20 Jan 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining
  Perspective
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
Haoyi Xiong
Xuhong Li
Xiaofei Zhang
Jiamin Chen
Xinhao Sun
Yuchen Li
Zeyi Sun
Mengnan Du
XAI
26
7
0
09 Jan 2024
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
Xiao Tian
Rachael Hwee Ling Sim
Jue Fan
K. H. Low
TDI
17
2
0
18 Dec 2023
Transferable Candidate Proposal with Bounded Uncertainty
Transferable Candidate Proposal with Bounded Uncertainty
Kyeongryeol Go
Kye-Hyeon Kim
8
0
0
07 Dec 2023
Data Acquisition: A New Frontier in Data-centric AI
Data Acquisition: A New Frontier in Data-centric AI
Lingjiao Chen
Bilge Acun
Newsha Ardalani
Yifan Sun
Feiyang Kang
...
Yongchan Kwon
Ruoxi Jia
Carole-Jean Wu
Matei A. Zaharia
James Y. Zou
35
8
0
22 Nov 2023
Accelerated Shapley Value Approximation for Data Evaluation
Accelerated Shapley Value Approximation for Data Evaluation
Lauren Watson
Zeno Kujawa
R. Andreeva
Hao-Tsung Yang
Tariq Elahi
Rik Sarkar
FAtt
FedML
TDI
13
2
0
09 Nov 2023
Data Valuation and Detections in Federated Learning
Data Valuation and Detections in Federated Learning
Wenqian Li
Shuran Fu
Fengrui Zhang
Yan Pang
FedML
TDI
11
4
0
09 Nov 2023
Sample based Explanations via Generalized Representers
Sample based Explanations via Generalized Representers
Che-Ping Tsai
Chih-Kuan Yeh
Pradeep Ravikumar
FAtt
39
8
0
27 Oct 2023
A Data-Centric Online Market for Machine Learning: From Discovery to
  Pricing
A Data-Centric Online Market for Machine Learning: From Discovery to Pricing
Minbiao Han
Jonathan Light
Steven Xia
Sainyam Galhotra
Raul Castro Fernandez
Haifeng Xu
6
2
0
27 Oct 2023
CopyScope: Model-level Copyright Infringement Quantification in the
  Diffusion Workflow
CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow
Junlei Zhou
Jiashi Gao
Ziwei Wang
Xuetao Wei
11
2
0
13 Oct 2023
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and
  Diffusion Models
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
Yongchan Kwon
Eric Wu
K. Wu
James Zou
DiffM
TDI
11
53
0
02 Oct 2023
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to
  Data Valuation
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation
Jiachen T. Wang
Yuqing Zhu
Yu-Xiang Wang
R. Jia
Prateek Mittal
TDI
16
12
0
30 Aug 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from
  Partially Revealed Sources
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
Feiyang Kang
H. Just
Anit Kumar Sahu
R. Jia
28
10
0
05 Jul 2023
OpenDataVal: a Unified Benchmark for Data Valuation
OpenDataVal: a Unified Benchmark for Data Valuation
Kevin Jiang
Weixin Liang
James Y. Zou
Yongchan Kwon
FedML
42
34
0
18 Jun 2023
2D-Shapley: A Framework for Fragmented Data Valuation
2D-Shapley: A Framework for Fragmented Data Valuation
Zhihong Liu
H. Just
Xiangyu Chang
X. Chen
R. Jia
TDI
32
5
0
18 Jun 2023
Data Selection for Fine-tuning Large Language Models Using Transferred
  Shapley Values
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values
S. Schoch
Ritwick Mishra
Yangfeng Ji
TDI
75
18
0
16 Jun 2023
Shapley Value on Probabilistic Classifiers
Shapley Value on Probabilistic Classifiers
Xiang Li
Haocheng Xia
Jinfei Liu
TDI
11
0
0
12 Jun 2023
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep
  Staging
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging
E. Heremans
Nabeel Seedat
B. Buyse
D. Testelmans
M. Schaar
Marina De Vos
11
4
0
07 Jun 2023
Addressing Budget Allocation and Revenue Allocation in Data Market
  Environments Using an Adaptive Sampling Algorithm
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
Boxin Zhao
Boxiang Lyu
Raul Castro Fernandez
Mladen Kolar
8
7
0
05 Jun 2023
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
Felipe Garrido-Lucero
Benjamin Heymann
Maxime Vono
P. Loiseau
Vianney Perchet
FedML
TDI
20
3
0
03 Jun 2023
Representer Point Selection for Explaining Regularized High-dimensional
  Models
Representer Point Selection for Explaining Regularized High-dimensional Models
Che-Ping Tsai
Jiong Zhang
Eli Chien
Hsiang-Fu Yu
Cho-Jui Hsieh
Pradeep Ravikumar
11
2
0
31 May 2023
Data valuation: The partial ordinal Shapley value for machine learning
Data valuation: The partial ordinal Shapley value for machine learning
Jie Liu
Pei Wang
Chao Wu
TDI
19
0
0
02 May 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms
LAVA: Data Valuation without Pre-Specified Learning Algorithms
H. Just
Feiyang Kang
Jiachen T. Wang
Yi Zeng
Myeongseob Ko
Ming Jin
R. Jia
14
54
0
28 Apr 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Yongchan Kwon
James Y. Zou
TDI
FedML
18
35
0
16 Apr 2023
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor
  Algorithms"
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms"
Boxin Wang
Bo-wen Li
TDI
18
43
0
09 Apr 2023
Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2)
  for KNN models
Optimizing Data Shapley Interaction Calculation from O(2^n) to O(t n^2) for KNN models
Mohamed Karim Belaid
Dorra El Mekki
Maximilian Rabus
Eyke Hüllermeier
12
3
0
02 Apr 2023
Fairness-Aware Data Valuation for Supervised Learning
Fairness-Aware Data Valuation for Supervised Learning
José P. Pombal
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
TDI
19
3
0
29 Mar 2023
Towards Algorithmic Fairness by means of Instance-level Data
  Re-weighting based on Shapley Values
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values
Adrián Arnaiz-Rodríguez
Nuria Oliver
FedML
TDI
10
2
0
03 Mar 2023
A Note on "Towards Efficient Data Valuation Based on the Shapley Value''
A Note on "Towards Efficient Data Valuation Based on the Shapley Value''
Jiachen T. Wang
R. Jia
TDI
12
11
0
22 Feb 2023
Training Data Influence Analysis and Estimation: A Survey
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh
Daniel Lowd
TDI
24
82
0
09 Dec 2022
Probably Approximate Shapley Fairness with Applications in Machine
  Learning
Probably Approximate Shapley Fairness with Applications in Machine Learning
Zijian Zhou
Xinyi Xu
Rachael Hwee Ling Sim
Chuan-Sheng Foo
K. H. Low
TDI
14
9
0
01 Dec 2022
CS-Shapley: Class-wise Shapley Values for Data Valuation in
  Classification
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
S. Schoch
Haifeng Xu
Yangfeng Ji
TDI
8
24
0
13 Nov 2022
Striving for data-model efficiency: Identifying data externalities on
  group performance
Striving for data-model efficiency: Identifying data externalities on group performance
Esther Rolf
Ben Packer
Alex Beutel
Fernando Diaz
TDI
14
2
0
11 Nov 2022
Variance reduced Shapley value estimation for trustworthy data valuation
Variance reduced Shapley value estimation for trustworthy data valuation
Mengmeng Wu
R. Jia
Changle Lin
Wei Huang
Xiangyu Chang
TDI
35
12
0
30 Oct 2022
Private Data Valuation and Fair Payment in Data Marketplaces
Private Data Valuation and Fair Payment in Data Marketplaces
Zhihua Tian
Jian-wei Liu
J. Li
Xinle Cao
R. Jia
Jun Kong
Mengdi Liu
Kui Ren
TDI
19
12
0
17 Oct 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions
WeightedSHAP: analyzing and improving Shapley based feature attributions
Yongchan Kwon
James Y. Zou
TDI
FAtt
12
33
0
27 Sep 2022
A Data-Based Perspective on Transfer Learning
A Data-Based Perspective on Transfer Learning
Saachi Jain
Hadi Salman
Alaa Khaddaj
Eric Wong
Sung Min Park
A. Madry
21
36
0
12 Jul 2022
Measuring the Effect of Training Data on Deep Learning Predictions via
  Randomized Experiments
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
Jinkun Lin
Anqi Zhang
Mathias Lécuyer
Jinyang Li
Aurojit Panda
S. Sen
TDI
FedML
6
52
0
20 Jun 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen T. Wang
R. Jia
FedML
TDI
50
94
0
30 May 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution
  Shifts and Training Conflicts
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Weixin Liang
James Y. Zou
OOD
21
81
0
14 Feb 2022
The Shapley Value in Machine Learning
The Shapley Value in Machine Learning
Benedek Rozemberczki
Lauren Watson
Péter Bayer
Hao-Tsung Yang
Oliver Kiss
Sebastian Nilsson
Rik Sarkar
TDI
FAtt
8
197
0
11 Feb 2022
The Shapley Value of Classifiers in Ensemble Games
The Shapley Value of Classifiers in Ensemble Games
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
51
33
0
06 Jan 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
109
124
0
24 Oct 2020
Quality Inference in Federated Learning with Secure Aggregation
Quality Inference in Federated Learning with Secure Aggregation
Balázs Pejó
G. Biczók
FedML
10
21
0
13 Jul 2020
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