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AI Explainability 360: Impact and Design., , , , , , , , , и 10 other автор(ы). CoRR, (2021)Towards Better Model Understanding with Path-Sufficient Explanations., и . CoRR, (2021)A Formal Framework to Characterize Interpretability of Procedures., , , и . CoRR, (2017)Convex approximations to sparse PCA via Lagrangian duality., и . Oper. Res. Lett., 39 (1): 57-61 (2011)Conditional Gradient Algorithmsfor Rank-One Matrix Approximations with a Sparsity Constraint., и . SIAM Rev., 55 (1): 65-98 (2013)Stochastic Gradient Descent with Biased but Consistent Gradient Estimators., и . CoRR, (2018)Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI., , , , и . HCOMP, стр. 147-159. AAAI Press, (2022)Probabilistic Rule Induction from Event Sequences with Logical Summary Markov Models., , , и . IJCAI, стр. 5667-5675. ijcai.org, (2023)Multi-Level Explanations for Generative Language Models., , , , , , , , , и 1 other автор(ы). CoRR, (2024)Support vector machine classification with indefinite kernels., и . Math. Program. Comput., 1 (2-3): 97-118 (2009)