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The Shapley Value in Machine Learning

International Joint Conference on Artificial Intelligence (IJCAI), 2022

11 February 2022

Papers citing "The Shapley Value in Machine Learning"

20 / 70 papers shown

Title
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI Ulrike Kuhl André Artelt Barbara Hammer 194 5 0 13 Jun 2023
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem InstancesAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2023 Ana Nikolikj Savso Dvzeroski Mario Andrés Muñoz Carola Doerr Peter Korovsec T. Eftimov 191 6 0 01 Jun 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data ValueInternational Conference on Machine Learning (ICML), 2023 Yongchan Kwon James Zou TDI FedML 327 50 0 16 Apr 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 369 1 0 14 Mar 2023
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy driversSustainable Energy, Grids and Networks (SEGAN), 2023 Sotiris Pelekis Ioannis-Konstantinos Seisopoulos Evangelos Spiliotis Theodosios Pountridis Evangelos Karakolis S. Mouzakitis D. Askounis 183 26 0 23 Feb 2023
The Inadequacy of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 271 46 0 16 Feb 2023
Approximating the Shapley Value without Marginal ContributionsAAAI Conference on Artificial Intelligence (AAAI), 2023 Patrick Kolpaczki Viktor Bengs Maximilian Muschalik Eyke Hüllermeier FAtt TDI 513 34 0 01 Feb 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine LearningQuantum Machine Intelligence (QMI), 2023 R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 349 31 0 22 Jan 2023
Shapley Values with Uncertain Value FunctionsInternational Symposium on Intelligent Data Analysis (IDA), 2023 R. Heese Sascha Mucke Matthias Jakobs Thore Gerlach Nico Piatkowski TDI 145 5 0 19 Jan 2023
Training Data Influence Analysis and Estimation: A SurveyMachine-mediated learning (ML), 2022 Zayd Hammoudeh Daniel Lowd TDI 433 144 0 09 Dec 2022
Probably Approximate Shapley Fairness with Applications in Machine LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Zijian Zhou Xinyi Xu Rachael Hwee Ling Sim Chuan-Sheng Foo K. H. Low TDI 196 11 0 01 Dec 2022
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely ValuesInternational Conference on Machine Learning and Applications (ICMLA), 2022 Anand Dubey Niall Lyons Avik Santra Ashutosh Pandey 92 6 0 07 Nov 2022
WeightedSHAP: analyzing and improving Shapley based feature attributionsNeural Information Processing Systems (NeurIPS), 2022 Yongchan Kwon James Zou TDI FAtt 254 49 0 27 Sep 2022
Redundancy-aware unsupervised ranking based on game theory -- application to gene enrichment analysis Chiara Balestra C. Maj Emmanuel Mueller Andreas Mayr 87 0 0 22 Jul 2022
Algorithms to estimate Shapley value feature attributionsNature Machine Intelligence (Nat. Mach. Intell.), 2022 Hugh Chen Ian Covert Scott M. Lundberg Su-In Lee TDI FAtt 259 329 0 15 Jul 2022
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing Jacopo Teneggi Beepul Bharti Yaniv Romano Jeremias Sulam FAtt 410 9 0 14 Jul 2022
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark Mohamed Karim Belaid Eyke Hüllermeier Maximilian Rabus Ralf Krestel ELM 157 0 0 08 Jun 2022
Differentially Private Shapley Values for Data Evaluation Lauren Watson R. Andreeva Hao Yang Rik Sarkar TDI FAtt FedML 198 8 0 01 Jun 2022
Unsupervised Features Ranking via Coalitional Game Theory for Categorical DataInternational Conference on Data Warehousing and Knowledge Discovery (DaWaK), 2022 Chiara Balestra Florian Huber Andreas Mayr Emmanuel Muller 84 3 0 17 May 2022
Quality Inference in Federated Learning with Secure AggregationIEEE Transactions on Big Data (IEEE Trans. Big Data), 2020 Balázs Pejó G. Biczók FedML 306 25 0 13 Jul 2020