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Approximating the Shapley Value without Marginal Contributions
AAAI Conference on Artificial Intelligence (AAAI), 2023
1 February 2023
Patrick Kolpaczki
Viktor Bengs
Maximilian Muschalik
Eyke Hüllermeier
FAtt
TDI
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Papers citing
"Approximating the Shapley Value without Marginal Contributions"
18 / 18 papers shown
Owen Sampling Accelerates Contribution Estimation in Federated Learning
Hossein KhademSohi
Hadi Hemmati
Jiayu Zhou
Steve Drew
FedML
280
0
0
28 Aug 2025
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
Landon Butler
Abhineet Agarwal
Justin Singh Kang
Yigit Efe Erginbas
Bin Yu
Kannan Ramchandran
461
4
0
23 May 2025
Prediction via Shapley Value Regression
Amr Alkhatib
Roman Bresson
Henrik Bostrom
Michalis Vazirgiannis
TDI
FAtt
460
3
0
07 May 2025
Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models
Chuan Sun
Han Yu
Lizhen Cui
Xiaoxiao Li
1.1K
6
0
03 May 2025
Antithetic Sampling for Top-k Shapley Identification
Patrick Kolpaczki
Tim Nielen
Eyke Hüllermeier
FAtt
TDI
514
0
0
02 Apr 2025
DUPRE: Data Utility Prediction for Efficient Data Valuation
Adaptive Agents and Multi-Agent Systems (AAMAS), 2025
Kieu Thao Nguyen Pham
Rachael Hwee Ling Sim
Q. Nguyen
Szu Hui Ng
Bryan Kian Hsiang Low
TDI
295
1
0
22 Feb 2025
A Comprehensive Study of Shapley Value in Data Analytics
Proceedings of the VLDB Endowment (PVLDB), 2024
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
902
4
0
02 Dec 2024
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
Neural Information Processing Systems (NeurIPS), 2024
Weida Li
Yaoliang Yu
244
9
0
31 Oct 2024
shapiq: Shapley Interactions for Machine Learning
Neural Information Processing Systems (NeurIPS), 2024
Maximilian Muschalik
Hubert Baniecki
Fabian Fumagalli
Patrick Kolpaczki
Barbara Hammer
Eyke Hüllermeier
TDI
285
47
0
02 Oct 2024
Efficient and Accurate Explanation Estimation with Distribution Compression
Hubert Baniecki
Giuseppe Casalicchio
Bernd Bischl
Przemyslaw Biecek
FAtt
505
3
0
26 Jun 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
International Conference on Machine Learning (ICML), 2024
Jingtan Wang
Xiaoqiang Lin
Rui Qiao
Chuan-Sheng Foo
Bryan Kian Hsiang Low
TDI
232
12
0
07 Jun 2024
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions
International Conference on Machine Learning (ICML), 2024
Fabian Fumagalli
Maximilian Muschalik
Patrick Kolpaczki
Eyke Hüllermeier
Barbara Hammer
395
20
0
17 May 2024
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks
AI Open (AO), 2024
Michail Mamalakis
Antonios Mamalakis
Ingrid Agartz
L. Morch-Johnsen
Graham K Murray
J. Suckling
Pietro Lio
539
1
0
16 May 2024
Multiply-Robust Causal Change Attribution
Victor Quintas-Martinez
M. T. Bahadori
Eduardo Santiago
Jeff Mu
Dominik Janzing
David Heckerman
CML
444
4
0
12 Apr 2024
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games
Neural Information Processing Systems (NeurIPS), 2024
Nam-Phuong Tran
T. Ta
Richard Willis
Debmalya Mandal
Yali Du
Long Tran-Thanh
304
0
0
10 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
Neural Information Processing Systems (NeurIPS), 2024
Ian Covert
Chanwoo Kim
Su-In Lee
James Zou
Tatsunori Hashimoto
TDI
358
18
0
29 Jan 2024
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
Neural Information Processing Systems (NeurIPS), 2023
Felipe Garrido-Lucero
Benjamin Heymann
Maxime Vono
Patrick Loiseau
Vianney Perchet
FedML
TDI
388
12
0
03 Jun 2023
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms"
Wei Ping
Yue Liu
TDI
325
42
0
09 Apr 2023
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