Approximating the Shapley Value without Marginal Contributions

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Approximating the Shapley Value without Marginal Contributions

1 February 2023

Patrick Kolpaczki

Maximilian Muschalik

Eyke Hüllermeier

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Papers citing "Approximating the Shapley Value without Marginal Contributions"

16 / 16 papers shown

Title
Prediction via Shapley Value Regression Amr Alkhatib Roman Bresson Henrik Bostrom Michalis Vazirgiannis TDI FAtt 120 0 0 07 May 2025
Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models Chuan Sun Han Yu Lizhen Cui Xiaoxiao Li 446 3 0 03 May 2025
Antithetic Sampling for Top-k Shapley Identification Patrick Kolpaczki Tim Nielen Eyke Hüllermeier TDI FAtt 119 0 0 02 Apr 2025
DUPRE: Data Utility Prediction for Efficient Data Valuation Kieu Thao Nguyen Pham Rachael Hwee Ling Sim Q. Nguyen Szu Hui Ng Bryan Kian Hsiang Low TDI 84 0 0 22 Feb 2025
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 180 0 0 02 Dec 2024
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently Weida Li Yaoliang Yu 104 3 0 31 Oct 2024
shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 66 13 0 02 Oct 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 120 4 0 26 Jun 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions Jingtan Wang Xiaoqiang Lin Rui Qiao Chuan-Sheng Foo Bryan Kian Hsiang Low TDI 66 5 0 07 Jun 2024
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions Fabian Fumagalli Maximilian Muschalik Patrick Kolpaczki Eyke Hüllermeier Barbara Hammer 105 7 0 17 May 2024
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks Michail Mamalakis Antonios Mamalakis Ingrid Agartz L. Morch-Johnsen Graham K Murray J. Suckling Pietro Lio 165 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 68 2 0 12 Apr 2024
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games Nam-Phuong Tran T. Ta Richard Willis Debmalya Mandal Yali Du Long Tran-Thanh 78 0 0 10 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Zou Tatsunori Hashimoto TDI 111 11 0 29 Jan 2024
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation Felipe Garrido-Lucero Benjamin Heymann Maxime Vono Patrick Loiseau Vianney Perchet FedML TDI 105 4 0 03 Jun 2023
A Note on "Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms" Wei Ping Yue Liu TDI 86 44 0 09 Apr 2023